88 results on '"Shuchismita Dutta"'
Search Results
52. Causes of Diabetes
- Author
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Jennifer Jiang and Shuchismita Dutta
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0301 basic medicine ,03 medical and health sciences ,Pediatrics ,medicine.medical_specialty ,030104 developmental biology ,business.industry ,Diabetes mellitus ,Medicine ,General Medicine ,business ,medicine.disease - Published
- 2017
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53. What is Diabetes?
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Shuchismita Dutta and Jennifer Jiang
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medicine.medical_specialty ,business.industry ,Diabetes mellitus ,Internal medicine ,medicine ,General Medicine ,medicine.disease ,business - Published
- 2017
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54. Complications
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Shuchismita Dutta and Jennifer Jiang
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General Medicine - Published
- 2017
- Full Text
- View/download PDF
55. Improving the representation of peptide‐like inhibitor and antibiotic molecules in the Protein Data Bank
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Helen M. Berman, Marina A. Zhuravleva, John D. Westbrook, Sanchayita Sen, Gerard J. Kleywegt, Dimitris Dimitropoulos, Zukang Feng, Irina Persikova, Jasmine Young, Shuchismita Dutta, and Chenghua Shao
- Subjects
Biophysics ,Protein Data Bank (RCSB PDB) ,Computational biology ,Biology ,External Data Representation ,Bioinformatics ,Biochemistry ,peptide-like inhibitor ,Biomaterials ,Consistency (database systems) ,Protein Data Bank ,Vancomycin ,Enzyme Inhibitors ,Databases, Protein ,Research Articles ,Pancreatic Elastase ,Organic Chemistry ,Gramicidin ,Representation (systemics) ,peptide-like antibiotic ,General Medicine ,computer.file_format ,Thiostrepton ,Anti-Bacterial Agents ,Identification (information) ,Peptides ,computer - Abstract
With the accumulation of a large number and variety of molecules in the Protein Data Bank (PDB) comes the need on occasion to review and improve their representation. The Worldwide PDB (wwPDB) partners have periodically updated various aspects of structural data representation to improve the integrity and consistency of the archive. The remediation effort described here was focused on improving the representation of peptide-like inhibitor and antibiotic molecules so that they can be easily identified and analyzed. Peptide-like inhibitors or antibiotics were identified in over 1000 PDB entries, systematically reviewed and represented either as peptides with polymer sequence or as single components. For the majority of the single-component molecules, their peptide-like composition was captured in a new representation, called the subcomponent sequence. A novel concept called “group” was developed for representing complex peptide-like antibiotics and inhibitors that are composed of multiple polymer and nonpolymer components. In addition, a reference dictionary was developed with detailed information about these peptide-like molecules to aid in their annotation, identification and analysis. Based on the experience gained in this remediation, guidelines, procedures, and tools were developed to annotate new depositions containing peptide-like inhibitors and antibiotics accurately and consistently. © 2013 Wiley Periodicals, Inc. Biopolymers 101: 659–668, 2014.
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- 2014
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56. Exploring biology and medicine using 3D biomacromolecules with PDB-101
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Chris Randle, Robert Lowe, Wendy Tao, Maria Voigt, David S. Goodsell, Christine Zardecki, Shuchismita Dutta, Stephen K. Burley, and Charmi Bhikadiya
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Inorganic Chemistry ,Structural Biology ,Protein Data Bank (RCSB PDB) ,General Materials Science ,Computational biology ,Physical and Theoretical Chemistry ,Biology ,Condensed Matter Physics ,Biochemistry - Published
- 2019
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57. OUP accepted manuscript
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Ezra Peisach, Robert Lowe, Ali Altunkaya, Yana Valasatava, Yi Ping Tao, Tara Kalro, Chenghua Shao, Cole H. Christie, David S. Goodsell, Helen M. Berman, Anthony R. Bradley, Jasmine Young, Maria Voigt, Peter W. Rose, Chunxiao Bi, Zukang Feng, John D. Westbrook, Rachel Kramer Green, Christine Zardecki, Andreas Prlić, Shuchismita Dutta, Luigi Di Costanzo, Stephen K. Burley, Christopher Randle, Jose M. Duarte, Brian P. Hudson, Alexander S. Rose, Jesse Woo, and Huangwang Yang
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0301 basic medicine ,business.industry ,Protein Data Bank (RCSB PDB) ,Structure validation ,computer.file_format ,Biology ,Collaboratory ,Bioinformatics ,Protein Data Bank ,Visualization ,World Wide Web ,03 medical and health sciences ,Structural bioinformatics ,030104 developmental biology ,User experience design ,Genetics ,business ,computer ,Datasets as Topic - Abstract
The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB, http://rcsb.org), the US data center for the global PDB archive, makes PDB data freely available to all users, from structural biologists to computational biologists and beyond. New tools and resources have been added to the RCSB PDB web portal in support of a 'Structural View of Biology.' Recent developments have improved the User experience, including the high-speed NGL Viewer that provides 3D molecular visualization in any web browser, improved support for data file download and enhanced organization of website pages for query, reporting and individual structure exploration. Structure validation information is now visible for all archival entries. PDB data have been integrated with external biological resources, including chromosomal position within the human genome; protein modifications; and metabolic pathways. PDB-101 educational materials have been reorganized into a searchable website and expanded to include new features such as the Geis Digital Archive.
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- 2016
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58. Promoting a structural view of biology for varied audiences: an overview of RCSB PDB resources and experiences
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Christine Zardecki, Shuchismita Dutta, Helen M. Berman, and David S. Goodsell
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macromolecular structures ,biological crystallography ,crystallographic education ,media_common.quotation_subject ,Protein Data Bank (RCSB PDB) ,Context (language use) ,General Biochemistry, Genetics and Molecular Biology ,World Wide Web ,03 medical and health sciences ,Structural bioinformatics ,Presentation ,Resource (project management) ,Protein Data Bank ,030304 developmental biology ,media_common ,Structure (mathematical logic) ,0303 health sciences ,05 social sciences ,050301 education ,computer.file_format ,Collaboratory ,Research Papers ,3. Good health ,0503 education ,computer - Abstract
The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) serves a community of users with diverse backgrounds and interests. In addition to processing, archiving and distributing structural data, it also develops educational resources and materials to enable people to utilize PDB data and to further a structural view of biology., The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) supports scientific research and education worldwide by providing an essential resource of information on biomolecular structures. In addition to serving as a deposition, data-processing and distribution center for PDB data, the RCSB PDB offers resources and online materials that different audiences can use to customize their structural biology instruction. These include resources for general audiences that present macromolecular structure in the context of a biological theme, method-based materials for researchers who take a more traditional approach to the presentation of structural science, and materials that mix theme-based and method-based approaches for educators and students. Through these efforts the RCSB PDB aims to enable optimal use of structural data by researchers, educators and students designing and understanding experiments in biology, chemistry and medicine, and by general users making informed decisions about their life and health.
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- 2010
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59. New online curriculum: the PDB pipeline and data archiving
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Jose M. Duarte, Brian P. Hudson, Stephen K. Burley, John D. Westbrook, Catherine L. Lawson, Amy A. Sarjeant, Peter W. Rose, Margaret Gabanyi, Jasmine Young, Shuchismita Dutta, Helen M. Berman, and Ezra Peisach
- Subjects
Inorganic Chemistry ,Database ,Structural Biology ,Computer science ,Protein Data Bank (RCSB PDB) ,General Materials Science ,Physical and Theoretical Chemistry ,Condensed Matter Physics ,computer.software_genre ,Biochemistry ,Curriculum ,Pipeline (software) ,computer - Published
- 2018
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60. Data Deposition and Annotation at the Worldwide Protein Data Bank
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G. J. Swaminathan, Helen M. Berman, Haruki Nakamura, Kim Henrick, Jasmine Young, Takanori Matsuura, Shuchismita Dutta, and Kyle Burkhardt
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Biological phenomenon ,Computer science ,business.industry ,Protein Data Bank (RCSB PDB) ,Computational Biology ,Information Storage and Retrieval ,Proteins ,Reproducibility of Results ,Bioengineering ,Documentation ,computer.file_format ,Protein Data Bank ,Bioinformatics ,Applied Microbiology and Biotechnology ,Biochemistry ,Data science ,Annotation ,Molecular level ,The Internet ,Experimental methods ,Databases, Protein ,business ,Molecular Biology ,computer ,Biotechnology - Abstract
The Protein Data Bank (PDB) is the repository for three-dimensional structures of biological macromolecules, determined by experimental methods. The data in the archive is free and easily available via the Internet from any of the worldwide centers managing this global archive. These data are used by scientists, researchers, bioinformatics specialists, educators, students, and general audiences to understand biological phenomenon at a molecular level. Analysis of this structural data also inspires and facilitates new discoveries in science. This chapter describes the tools and methods currently used for deposition, processing, and release of data in the PDB. References to future enhancements are also included.
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- 2008
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61. Representation of viruses in the remediated PDB archive
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Shuchismita Dutta, Helen M. Berman, John D. Westbrook, Catherine L. Lawson, and Kim Henrick
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Models, Molecular ,Protein Data Bank (RCSB PDB) ,information science ,macromolecular substances ,Crystallography, X-Ray ,environment and public health ,virus structures ,03 medical and health sciences ,Structural Biology ,Protein Data Bank ,helical symmetry ,Point (geometry) ,natural sciences ,Representation (mathematics) ,point symmetry ,Databases, Protein ,030304 developmental biology ,Physics ,Quantitative Biology::Biomolecules ,0303 health sciences ,Crystallographic point group ,uniform curation ,030302 biochemistry & molecular biology ,Frame (networking) ,Cryoelectron Microscopy ,General Medicine ,computer.file_format ,Research Papers ,Matrix multiplication ,database integration ,Crystallography ,biological assemblies ,Viruses ,health occupations ,Symmetry (geometry) ,computer ,Algorithm - Abstract
A new data model for PDB entries of viruses and other biological assemblies with regular noncrystallographic symmetry is described., A new scheme has been devised to represent viruses and other biological assemblies with regular noncrystallographic symmetry in the Protein Data Bank (PDB). The scheme describes existing and anticipated PDB entries of this type using generalized descriptions of deposited and experimental coordinate frames, symmetry and frame transformations. A simplified notation has been adopted to express the symmetry generation of assemblies from deposited coordinates and matrix operations describing the required point, helical or crystallographic symmetry. Complete correct information for building full assemblies, subassemblies and crystal asymmetric units of all virus entries is now available in the remediated PDB archive.
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- 2008
62. Remediation of the protein data bank archive
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Judith L. Flippen-Anderson, John Ionides, G. Jawahar Swaminathan, Dimitris Dimitropoulos, Huanwang Yang, Wolfgang F. Bluhm, Yukiko Shimizu, Jasmine Young, Jurgen F. Doreleijers, Helen M. Berman, Jeramia Ory, Richard H. Newman, Muhammed Yousufuddin, Haruki Nakamura, John L. Markley, Kim Henrick, Reiko Yamashita, John D. Westbrook, Eldon L. Ulrich, Zukang Feng, Chisa Kamada, Eugene Krissinel, Shuchismita Dutta, Sameer Velankar, Catherine L. Lawson, Wim F. Vranken, and Department of Bio-engineering Sciences
- Subjects
Macromolecular Substances ,Protein Data Bank (RCSB PDB) ,Biology ,Bioinformatics ,computer.software_genre ,Crystallography, X-Ray ,Dictionaries, Chemical as Topic ,03 medical and health sciences ,Nucleic Acids ,Terminology as Topic ,Genetics ,Databases, Protein ,Nuclear Magnetic Resonance, Biomolecular ,030304 developmental biology ,0303 health sciences ,Internet ,Database ,Archives ,030302 biochemistry & molecular biology ,Proteins ,Reproducibility of Results ,computer.file_format ,Articles ,Protein Data Bank ,Dictionaries, Chemical ,Microscopy, Electron ,Growth and differentiation [NCMLS 3] ,Macromolecular Complexes ,computer - Abstract
Contains fulltext : 71213.pdf (Publisher’s version ) (Open Access) The Worldwide Protein Data Bank (wwPDB; wwpdb.org) is the international collaboration that manages the deposition, processing and distribution of the PDB archive. The online PDB archive at ftp://ftp.wwpdb.org is the repository for the coordinates and related information for more than 47 000 structures, including proteins, nucleic acids and large macromolecular complexes that have been determined using X-ray crystallography, NMR and electron microscopy techniques. The members of the wwPDB-RCSB PDB (USA), MSD-EBI (Europe), PDBj (Japan) and BMRB (USA)-have remediated this archive to address inconsistencies that have been introduced over the years. The scope and methods used in this project are presented.
- Published
- 2008
63. The Protein Data Bank: Overview and Tools for Drug Discovery
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Shuchismita Dutta, Peter W. Rose, Helen M. Berman, Christine Zardecki, and Andreas Prlić
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Drug discovery ,business.industry ,Data management ,Protein Data Bank (RCSB PDB) ,computer.file_format ,Protein Data Bank ,Bioinformatics ,Data science ,Field (computer science) ,Data access ,Resource (project management) ,Structural biology ,business ,computer - Abstract
The increasing size and complexity of the three dimensional (3D) structures of biomacromolecules in the Protein Data Bank (PDB) is a reflection of the growth in the field of structural biology. Although the PDB archive was initially used only in the field of structural biology, it has grown to become a valuable resource for understanding biology at a molecular level and is critical for designing new therapeutic options for various diseases. The many uses of the PDB archive depend upon on the tools and resources for both data management and for data access and analysis.
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- 2015
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64. Large Macromolecular Complexes in the Protein Data Bank: A Status Report
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Helen M. Berman and Shuchismita Dutta
- Subjects
Models, Molecular ,Protein Conformation ,Chemistry ,information science ,Protein Data Bank (RCSB PDB) ,computer.file_format ,Computational biology ,Status report ,Protein Data Bank ,Microscopy, Electron ,Crystallography ,Imaging, Three-Dimensional ,Structural Biology ,Multiprotein Complexes ,Macromolecular Complexes ,Animals ,natural sciences ,Databases, Protein ,computer ,Molecular Biology - Abstract
The growing number of large macromolecular complexes in the Protein Data Bank (PDB) has warranted a closer look at these structures. An overview of the types of molecules that form these large complexes is presented here. Some of the challenges at the PDB in representing, archiving, visualizing, and analyzing these structures are discussed along with possible means to overcome them.
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- 2005
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65. Crystal structures of 2-acetylaminofluorene and 2-aminofluorene in complex with T7 DNA polymerase reveal mechanisms of mutagenesis
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Charles C. Richardson, Tom Ellenberger, Shuchismita Dutta, Ying Li, Louis J. Romano, Leonid Dzantiev, and Donald E. Johnson
- Subjects
DNA Replication ,Models, Molecular ,Macromolecular Substances ,Stereochemistry ,DNA polymerase ,Molecular Conformation ,DNA-Directed DNA Polymerase ,Crystallography, X-Ray ,DNA polymerase delta ,chemistry.chemical_compound ,polycyclic compounds ,Polymerase ,Fluorenes ,Multidisciplinary ,DNA clamp ,Base Sequence ,biology ,Chemistry ,Mutagenesis ,DNA replication ,T7 DNA polymerase ,DNA ,2-Acetylaminofluorene ,Biological Sciences ,Biochemistry ,Carcinogens ,biology.protein - Abstract
The carcinogen 2-acetylaminofluorene forms two major DNA adducts: N -(2′-deoxyguanosin-8-yl)-2-acetylaminofluorene (dG-AAF) and its deacetylated derivative, N -(2′-deoxyguanosin-8-yl)-2-aminofluorene (dG-AF). Although the dG-AAF and dG-AF adducts are distinguished only by the presence or absence of an acetyl group, they have profoundly different effects on DNA replication. dG-AAF poses a strong block to DNA synthesis and primarily induces frameshift mutations in bacteria, resulting in the loss of one or two nucleotides during replication past the lesion. dG-AF is less toxic and more easily bypassed by DNA polymerases, albeit with an increased frequency of misincorporation opposite the lesion, primarily resulting in G → T transversions. We present three crystal structures of bacteriophage T7 DNA polymerase replication complexes, one with dG-AAF in the templating position and two others with dG-AF in the templating position. Our crystallographic data suggest why a dG-AAF adduct blocks replication more strongly than does a dG-AF adduct and provide a possible explanation for frameshift mutagenesis during replication bypass of a dG-AAF adduct. The dG-AAF nucleoside adopts a syn conformation that facilitates the intercalation of its fluorene ring into a hydrophobic pocket on the surface of the fingers subdomain and locks the fingers in an open, inactive conformation. In contrast, the dG-AF base at the templating position is not well defined by the electron density, consistent with weak binding to the polymerase and a possible interchange of this adduct between the syn and anti conformations.
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- 2004
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66. PDB-101: educational portal for molecular explorations through biology and medicine
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Maria Voigt, Christine Zardecki, Robert Lowe, Stephen K. Burley, Christopher Randle, Shuchismita Dutta, J. Woo, David S. Goodsell, Cole Christie, and W. Tao
- Subjects
Inorganic Chemistry ,Structural Biology ,Protein Data Bank (RCSB PDB) ,General Materials Science ,Computational biology ,Physical and Theoretical Chemistry ,Biology ,Condensed Matter Physics ,Biochemistry - Published
- 2017
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67. The RCSB Protein Data Bank: views of structural biology for basic and applied research and education
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Philip E. Bourne, Christine Zardecki, Helen M. Berman, Andreas Prlić, Jasmine Young, Cole H. Christie, David S. Goodsell, John D. Westbrook, Rachel Kramer Green, Shuchismita Dutta, Chunxiao Bi, Stephen K. Burley, Jesse Woo, Peter W. Rose, and Wolfgang F. Bluhm
- Subjects
Protein Conformation ,Protein Data Bank (RCSB PDB) ,Bioengineering ,Mobile Web ,Biology ,computer.software_genre ,Bioinformatics ,World Wide Web ,Databases ,03 medical and health sciences ,Underpinning research ,Information and Computing Sciences ,Genetics ,Database Issue ,Applied research ,Databases, Protein ,Molecular Biology ,Biomedicine ,030304 developmental biology ,0303 health sciences ,Internet ,Binding Sites ,business.industry ,Protein ,Research ,030302 biochemistry & molecular biology ,Membrane Proteins ,Molecular Sequence Annotation ,computer.file_format ,Biological Sciences ,Protein Data Bank ,1.5 Resources and infrastructure (underpinning) ,3. Good health ,Networking and Information Technology R&D ,Data access ,Pharmaceutical Preparations ,Multiprotein Complexes ,Component-based software engineering ,Generic health relevance ,Web service ,business ,Peptides ,computer ,Environmental Sciences ,Software ,Developmental Biology - Abstract
The RCSB Protein Data Bank (RCSB PDB, http://www.rcsb.org) provides access to 3D structures of biological macromolecules and is one of the leading resources in biology and biomedicine worldwide. Our efforts over the past 2 years focused on enabling a deeper understanding of structural biology and providing new structural views of biology that support both basic and applied research and education. Herein, we describe recently introduced data annotations including integration with external biological resources, such as gene and drug databases, new visualization tools and improved support for the mobile web. We also describe access to data files, web services and open access software components to enable software developers to more effectively mine the PDB archive and related annotations. Our efforts are aimed at expanding the role of 3D structure in understanding biology and medicine.
- Published
- 2014
68. Small molecule annotation for the Protein Data Bank
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Brian P. Hudson, Gaurav Sahni, John M. Berrisford, Matthew J. Conroy, Abhik Mukhopadhyay, Ezra Peisach, Irina Persikova, Junko Sato, Sutapa Ghosh, Yumiko Kengaku, Yu-He Liang, Luigi Di Costanzo, Buvaneswari Coimbatore Narayanan, Monica Sekharan, Marina Zhuravleva, Sanchayita Sen, Lihua Tan, Shuchismita Dutta, Reiko Igarashi, Jasmine Young, Guanghua Gao, Chenghua Shao, Minyu Chen, Sen, S., Young, J., Berrisford, J. M., Chen, M., Conroy, M. J., Dutta, S., DI COSTANZO, Luigi, Gao, G., Ghosh, S., Hudson, B. P., Igarashi, R., Kengaku, Y., Liang, Y., Peisach, E., Persikova, I., Mukhopadhyay, A., Narayanan, B. C., Sahni, G., Sato, J., Sekharan, M., Shao, C., Tan, L., and Zhuravleva, M. A.
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Models, Molecular ,Computer science ,Protein Data Bank (RCSB PDB) ,Computational biology ,Ligands ,General Biochemistry, Genetics and Molecular Biology ,Small Molecule Libraries ,Molecule ,Data Mining ,Binding site ,Databases, Protein ,chemistry.chemical_classification ,Information retrieval ,Binding Sites ,Glycopeptides ,Reproducibility of Results ,computer.file_format ,Protein Data Bank ,Small molecule ,Amino acid ,Anti-Bacterial Agents ,Glucose ,chemistry ,Nucleic acid ,Original Article ,General Agricultural and Biological Sciences ,computer ,Databases, Chemical ,Information Systems ,Macromolecule - Abstract
The Protein Data Bank (PDB) is the single global repository for three-dimensional structures of biological macromolecules and their complexes, and its more than 100 000 structures contain more than 20 000 distinct ligands or small molecules bound to proteins and nucleic acids. Information about these small molecules and their interactions with proteins and nucleic acids is crucial for our understanding of biochemical processes and vital for structure-based drug design. Small molecules present in a deposited structure may be attached to a polymer or may occur as a separate, non-covalently linked ligand. During curation of a newly deposited structure by wwPDB annotation staff, each molecule is cross-referenced to the PDB Chemical Component Dictionary (CCD). If the molecule is new to the PDB, a dictionary description is created for it. The information about all small molecule components found in the PDB is distributed via the ftp archive as an external reference file. Small molecule annotation in the PDB also includes information about ligand-binding sites and about covalent and other linkages between ligands and macromolecules. During the remediation of the peptide-like antibiotics and inhibitors present in the PDB archive in 2011, it became clear that additional annotation was required for consistent representation of these molecules, which are quite often composed of several sequential subcomponents including modified amino acids and other chemical groups. The connectivity information of the modified amino acids is necessary for correct representation of these biologically interesting molecules. The combined information is made available via a new resource called the Biologically Interesting molecules Reference Dictionary, which is complementary to the CCD and is now routinely used for annotation of peptide-like antibiotics and inhibitors.
- Published
- 2014
69. The Crystal Structure of Nucleoplasmin-Core
- Author
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Kari L. Hartman, Shuchismita Dutta, Christopher W. Akey, Ildikó V. Akey, Tom Laue, James F. Head, Colin Dingwall, and Robert T. Nolte
- Subjects
Genetics ,Nucleoplasmin ,education.field_of_study ,biology ,Nucleosome assembly ,Pentamer ,Cell Biology ,Histone ,Sperm chromatin decondensation ,Chaperone (protein) ,biology.protein ,Biophysics ,Nucleosome ,education ,Molecular Biology ,Histone binding - Abstract
The efficient assembly of histone complexes and nucleosomes requires the participation of molecular chaperones. Currently, there is a paucity of data on their mechanism of action. We now present the structure of an N-terminal domain of nucleoplasmin (Np-core) at 2.3 A resolution. The Np-core monomer is an eight-stranded β barrel that fits snugly within a stable pentamer. In the crystal, two pentamers associate to form a decamer. We show that both Np and Np-core are competent to assemble large complexes that contain the four core histones. Further experiments and modeling suggest that these complexes each contain five histone octamers which dock to a central Np decamer. This work has important ramifications for models of histone storage, sperm chromatin decondensation, and nucleosome assembly.
- Published
- 2001
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70. The RCSB Protein Data Bank: new resources for research and education
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Cole Christie, John D. Westbrook, Chunxiao Bi, Helen M. Berman, Christine Zardecki, Gregory B. Quinn, Martha Quesada, Andreas Prlić, Philip E. Bourne, Rachel Kramer Green, Jasmine Young, Alexander G. Ramos, Peter W. Rose, Dimitris Dimitropoulos, Wolfgang F. Bluhm, Shuchismita Dutta, and David S. Goodsell
- Subjects
Protein Conformation ,Protein Data Bank (RCSB PDB) ,Biology ,computer.software_genre ,Bioinformatics ,Ligands ,Biochemistry ,Domain (software engineering) ,World Wide Web ,03 medical and health sciences ,Structural bioinformatics ,0302 clinical medicine ,Genetics ,Computer Graphics ,Databases, Protein ,030304 developmental biology ,0303 health sciences ,Internet ,business.industry ,Research ,Timeline ,computer.file_format ,Articles ,Collaboratory ,Protein Data Bank ,Protein Structure, Tertiary ,Structural Homology, Protein ,030220 oncology & carcinogenesis ,The Internet ,Web service ,business ,computer - Abstract
The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) develops tools and resources that provide a structural view of biology for research and education. The RCSB PDB web site (http://www.rcsb.org) uses the curated 3D macromolecular data contained in the PDB archive to offer unique methods to access, report and visualize data. Recent activities have focused on improving methods for simple and complex searches of PDB data, creating specialized access to chemical component data and providing domain-based structural alignments. New educational resources are offered at the PDB-101 educational view of the main web site such as Author Profiles that display a researcher’s PDB entries in a timeline. To promote different kinds of access to the RCSB PDB, Web Services have been expanded, and an RCSB PDB Mobile application for the iPhone/iPad has been released. These improvements enable new opportunities for analyzing and understanding structure data.
- Published
- 2012
71. Trendspotting in the Protein Data Bank
- Author
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Chenghua Shao, Helen M. Berman, Ezra Peisach, Brian P. Hudson, Catherine L. Lawson, Buvaneswari Coimbatore Narayanan, Luigi Di Costanzo, Jasmine Young, Shuchismita Dutta, Christine Zardecki, Andreas Prlić, Sutapa Ghosh, Peter W. Rose, Huanwang Yang, Berman, H. M., Coimbatore Narayanan, B., DI COSTANZO, Luigi, Dutta, S., Ghosh, S., Hudson, B. P., Lawson, C. L., Peisach, E., Prlic, A., Rose, P. W., Shao, C., Yang, H., Young, J., and Zardecki, C.
- Subjects
Models, Molecular ,Protein Conformation ,Biophysics ,Protein Data Bank (RCSB PDB) ,Information Storage and Retrieval ,Biology ,010402 general chemistry ,Crystallography, X-Ray ,01 natural sciences ,Biochemistry ,Article ,Database ,03 medical and health sciences ,Structural Biology ,Nucleic Acids ,Genetics ,Trend ,Databases, Protein ,Molecular Biology ,030304 developmental biology ,0303 health sciences ,Information retrieval ,Nucleic Acid ,Protein ,Biological macromolecule ,Proteins ,Cell Biology ,computer.file_format ,Protein Data Bank ,0104 chemical sciences ,Structural biology ,Nucleic Acid Conformation ,computer ,Protein Binding - Abstract
The Protein Data Bank (PDB) was established in 1971 as a repository for the three dimensional structures of biological macromolecules. Since then, more than 85000 biological macromolecule structures have been determined and made available in the PDB archive. Through analysis of the corpus of data, it is possible to identify trends that can be used to inform us abou the future of structural biology and to plan the best ways to improve the management of the ever-growing amount of PDB data.
- Published
- 2012
72. The Nucleic Acid Database
- Author
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Zukang Feng, Li Chen, J. de la Cruz, Shuchismita Dutta, Christine Zardecki, Bohdan Schneider, Jasmine Young, John D. Westbrook, Helen M. Berman, and Huanwang Yang
- Subjects
Database ,Computer science ,Relational database ,RNA ,Structure type ,computer.software_genre ,chemistry.chemical_compound ,ComputingMethodologies_PATTERNRECOGNITION ,chemistry ,Structural biology ,Nucleic acid ,Nucleic acid structure ,computer ,DNA - Abstract
The Nucleic Acid Database (NDB) was one of the earliest relational databases for use in structural biology. Today, it provides valuable resources for researchers and students. Users can search the archive using a variety of constraints, and generate quick and detailed reports. Structures can be explored through an online atlas organized by experimental and structure type. The NDB has developed and hosts standards and software tools, and offers special programs for exploring RNA structure. Keywords: Nucleic Acid Database; DNA; RNA; nucleic acids
- Published
- 2012
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73. Data deposition and annotation at the worldwide protein data bank
- Author
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Shuchismita, Dutta, Kyle, Burkhardt, Ganesh J, Swaminathan, Takashi, Kosada, Kim, Henrick, Haruki, Nakamura, and Helen M, Berman
- Subjects
Protein Conformation ,Information Storage and Retrieval ,Proteins ,Documentation ,Databases, Protein - Abstract
The Protein Data Bank (PDB) is the repository for the three-dimensional structures of biological macromolecules, determined by experimental methods. The data in the archive are free and easily available via the Internet from any of the worldwide centers managing this global archive. These data are used by scientists, researchers, bioinformatics specialists, educators, students, and lay audiences to understand biological phenomena at a molecular level. Analysis of these structural data also inspires and facilitates new discoveries in science. This chapter describes the tools and methods currently used for deposition, processing, and release of data in the PDB. References to future enhancements are also included.
- Published
- 2008
74. Data Deposition and Annotation at the Worldwide Protein Data Bank
- Author
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Takashi Kosada, G. J. Swaminathan, Shuchismita Dutta, Kyle Burkhardt, Kim Henrick, Helen M. Berman, and Haruki Nakamura
- Subjects
Annotation ,Biological phenomenon ,Computer science ,Protein Data Bank (RCSB PDB) ,computer.file_format ,Bioinformatics ,Protein Data Bank ,Data science ,Deposition (chemistry) ,computer ,Macromolecule - Abstract
The Protein Data Bank (PDB) is the repository for three-dimensional structures of biological macromolecules, determined by experimental methods. The data in the archive is free and easily available via the Internet from any of the worldwide centers managing this global archive. These data are used by scientists, researchers, bioinformatics specialists, educators, students, and general audiences to understand biological phenomenon at a molecular level. Analysis of this structural data also inspires and facilitates new discoveries in science. This chapter describes the tools and methods currently used for deposition, processing, and release of data in the PDB. References to future enhancements are also included.
- Published
- 2008
- Full Text
- View/download PDF
75. Using the Tools and Resources of the RCSB Protein Data Bank
- Author
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Shuchismita Dutta, Wolfgang F. Bluhm, and Helen M. Berman
- Subjects
Protein structure database ,Computer science ,Molecular Sequence Data ,Protein Data Bank (RCSB PDB) ,Information Storage and Retrieval ,computer.software_genre ,Biochemistry ,User-Computer Interface ,Structural bioinformatics ,Sequence Analysis, Protein ,Structural Biology ,Protein methods ,Computer Graphics ,Amino Acid Sequence ,Databases, Protein ,Geometric data analysis ,Proteins ,Experimental data ,computer.file_format ,Collaboratory ,Protein Data Bank ,Database Management Systems ,Data mining ,computer ,Algorithms ,Software - Abstract
The Protein Data Bank (PDB; http://www.pdb.org) is the world-wide repository for three-dimensional structural data determined using various experimental methods. The options and procedures for searching and downloading structural data from the Research Collaboratory for Structural Bioinformatics (RCSB) PDB are described here, along with tools for assessing the quality of structures. Several types of information are associated with each structure deposition, including atomic coordinates of the structure, experimental data used to solve it, sequences of all macromolecules in the structures, details about the structure solution method, images showing different views of the structure, derived geometric data, and a variety of links to other resources. These data and resources may be used for understanding the function and stability of the molecule and for designing biochemical, genetic, or other experiments. They can also be used for molecular modeling and drug design.
- Published
- 2007
- Full Text
- View/download PDF
76. The RCSB PDB 'Molecule of the Month': Inspiring a Molecular View of Biology
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Maria Voigt, Christine Zardecki, David S. Goodsell, Shuchismita Dutta, Stephen K. Burley, and Helen M. Berman
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Enzyme action ,QH301-705.5 ,Protein Data Bank (RCSB PDB) ,Human immunodeficiency virus (HIV) ,Biology ,Bioinformatics ,medicine.disease_cause ,General Biochemistry, Genetics and Molecular Biology ,Education ,World Wide Web ,03 medical and health sciences ,Structural bioinformatics ,medicine ,Biology (General) ,Molecular Biology ,030304 developmental biology ,0303 health sciences ,Molecular Structure ,General Immunology and Microbiology ,General Neuroscience ,05 social sciences ,050301 education ,computer.file_format ,Collaboratory ,Protein Data Bank ,3. Good health ,Databases as Topic ,General Agricultural and Biological Sciences ,0503 education ,computer - Abstract
The Research Collaboratory for Structural Bioinformatics (RCSB) Molecule of the Month series provides a curated introduction to the 3-D biomolecular structures available in the Protein Data Bank archive and the tools that are available at the RCSB website for accessing and exploring them. A variety of educational materials, such as articles, videos, posters, hands-on activities, lesson plans, and curricula, build on this series for use in a variety of educational settings as a general introduction to key topics, such as enzyme action, protein synthesis, and viruses. The series and associated educational materials are freely available at www.rcsb.org.
- Published
- 2015
- Full Text
- View/download PDF
77. Educational Resources for Structural Biology at the RCSB Protein Data Bank
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Christine Zardecki, Helen M. Berman, Shuchismita Dutta, and Jeff Milton
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Structural biology ,Educational resources ,Genetics ,Protein Data Bank (RCSB PDB) ,Business ,computer.file_format ,Protein Data Bank ,Molecular Biology ,Biochemistry ,Data science ,computer ,Biotechnology - Published
- 2006
- Full Text
- View/download PDF
78. Using the Tools and Resources of the RCSB Protein Data Bank
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Wolfgang F. Bluhm, Helen M. Berman, Shuchismita Dutta, and Kyle Burkhardt
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Structure (mathematical logic) ,Molecular model ,Computer science ,Protein Data Bank (RCSB PDB) ,Experimental data ,General Medicine ,computer.file_format ,Collaboratory ,computer.software_genre ,Protein Data Bank ,Structural bioinformatics ,Data mining ,computer ,Geometric data analysis - Abstract
The Protein Data Bank (PDB; http://www.pdb.org) is the world-wide repository for three-dimensional structural data determined using various experimental methods. The options and procedures for searching and downloading structural data from the PDB, which is maintained by the Research Collaboratory for Structural Bioinformatics (RCSB), are described here along with tools for depositing and assessing the quality of structures. Several types of information are associated with each structure deposition including atomic coordinates of the structure, experimental data used to solve the structure, sequences of all macromolecules that constitute the structures, details about the structure solution method, images showing different views of the structure, derived geometric data, and a variety of links to other resources. These data and resources may be used for understanding and designing biochemical, genetic, or other experiments to study the stability or function of the molecule. They can also be used for molecular modeling and drug design. Keywords: query; validation; deposition; macromolecular structures; proteins; nucleic acids
- Published
- 2005
- Full Text
- View/download PDF
79. Phenylalanine Hydroxylase
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Shuchismita Dutta
- Subjects
General Medicine - Published
- 2005
- Full Text
- View/download PDF
80. Automated and accurate deposition of structures solved by X-ray diffraction to the Protein Data Bank
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Zukang Feng, Huanwang Yang, Vladimir Guranovic, John D. Westbrook, Helen M. Berman, and Shuchismita Dutta
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Models, Molecular ,Computer science ,Protein Conformation ,Protein Data Bank (RCSB PDB) ,Information Storage and Retrieval ,Crystallography, X-Ray ,Computational science ,Automation ,Software ,X-Ray Diffraction ,Structural Biology ,Sequence Analysis, Protein ,Deposition (phase transition) ,Databases, Protein ,business.industry ,Computational Biology ,Proteins ,Reproducibility of Results ,General Medicine ,computer.file_format ,Protein Data Bank ,Phaser ,Crystallography ,X-ray crystallography ,Database Management Systems ,business ,computer ,Data reduction - Abstract
The RCSB Protein Data Bank (PDB) has a number of options for deposition of structural data and has developed software tools to facilitate the process. In addition to ADIT and the PDB Validation Suite, a new software application, pdb_extract, has been designed to promote automatic data deposition of structures solved by X-ray diffraction. The pdb_extract software can extract information about data reduction, phasing, molecular replacement, density modification and refinement from the output files produced by many X-ray crystallographic applications. The options, procedures and tools for accurate and automated PDB data deposition are described here.
- Published
- 2004
81. Growth Hormone
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Shuchismita Dutta
- Subjects
General Medicine - Published
- 2004
- Full Text
- View/download PDF
82. Carbonic Anhydrase
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Shuchismita Dutta
- Subjects
General Medicine - Published
- 2004
- Full Text
- View/download PDF
83. Calmodulin
- Author
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Shuchismita Dutta
- Subjects
General Medicine - Published
- 2003
- Full Text
- View/download PDF
84. Hemoglobin
- Author
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Shuchismita Dutta
- Subjects
General Medicine - Published
- 2003
- Full Text
- View/download PDF
85. Potassium Channels
- Author
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Shuchismita Dutta
- Subjects
General Medicine - Published
- 2003
- Full Text
- View/download PDF
86. Data quality in the PDB archive
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J. Swaminathan, Shuchismita Dutta, Kim Henrick, Helen M. Berman, John L. Markley, Jasmine Young, Zukang Feng, John D. Westbrook, Dimitris Dimitropoulos, Haruki Nakamura, Eldon L. Ulrich, and Catherine L. Lawson
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Database ,Structural Biology ,Computer science ,Data quality ,Protein Data Bank (RCSB PDB) ,computer.software_genre ,computer - Published
- 2008
- Full Text
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87. The Protein Data Bank and Its Uses in Structural Biology Education
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Judith G. Voet and Shuchismita Dutta
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Structure (mathematical logic) ,Computer science ,media_common.quotation_subject ,Protein Data Bank (RCSB PDB) ,Protein Data Bank, HelenBerman ,computer.file_format ,Protein Data Bank ,Data science ,lcsh:Education (General) ,lcsh:Biochemistry ,Computer graphics ,Structural biology ,Automotive Engineering ,lcsh:QD415-436 ,lcsh:L7-991 ,Function (engineering) ,computer ,media_common - Abstract
The Protein Data Bank (PDB) is a repository for the structures of proteins and nucleic acids. Itcontains les of their 3-dimensional coordinates, information on how these structures were determinedand references to the journal articles describing them. The PDB was established in 1971 by HelenBerman (it s present director) and has grown exponentially so that it now contains 25,000 data lesrepresenting X-ray crystallographic, NMR and other structure determinations. Database queryingand data miningtools and resources at the PDB make it possible to search, compare and infer orpredict the function of newly identied proteins. Computer graphics capabilities make it possible foranyone to easily visualize and study the structural data. The capability to present beautiful graphicrepresentations of the 3-dimesnional structures of proteins and nucleic acids has been a boon to theeducation community. Communicating an understanding of these structures and the chemical forcesdetermining them and their interactions is one of the major aims of biochemistry and molecular biologyeducation. The ability to teach these principles visually has made a great dierence in our abilityto excite our students and provide them with physical interpretations for some abstract concepts inbiochemistry and molecular biology. In this talk we will explore some of the ways that the education community uses the PDB.
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- 2004
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88. The Crystal Structure of Drosophila NLP-Core Provides Insight into Pentamer Formation and Histone Binding
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Ildikó V. Akey, Shuchismita Dutta, James F. Head, Christopher W. Akey, and V.M.Haridasan Namboodiri
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Nucleoplasmin ,Nucleocytoplasmic Transport Proteins ,Materials science ,Pentamer ,Beta hairpin ,Molecular Sequence Data ,computer.software_genre ,Crystallography, X-Ray ,Histones ,Structural Biology ,Animals ,Amino Acid Sequence ,education ,Molecular Biology ,Histone binding ,X-ray crystallography ,education.field_of_study ,biology ,business.industry ,Temperature ,Nuclear Proteins ,Chromatin ,Beta barrel ,Histone ,histone chaperone ,Chaperone (protein) ,biology.protein ,dNLP ,chromatin ,Drosophila ,Artificial intelligence ,business ,nucleoplasmin ,computer ,Sequence Alignment ,Natural language processing - Abstract
The nucleoplasmin-like protein from Drosophila (dNLP) functions as a chaperone for core histones and may remodel chromatin in embryos. We now report the crystal structure of a dNLP-core pentamer at 1.5 Å resolution. The monomer has an eight-stranded, β barrel topology that is similar to nucleoplasmin (Np). However, a signature β hairpin is tucked in along the lateral surface of the dNLP-core pentamer, while it extends outward in the Np-core decamer. Drosophila NLP and Np both assemble histone octamers. This process may require each chaperone to form a decamer, which would create symmetric binding sites for the histones. Conformational differences between dNLP and Np may reflect their different oligomeric states, while a conserved, nonpolar subunit interface may allow conformational plasticity during histone binding.
- Full Text
- View/download PDF
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