25 results on '"Keya Mukherjee"'
Search Results
2. Crowd sourcing a new paradigm for interactome driven drug target identification in Mycobacterium tuberculosis.
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Rohit Vashisht, Anupam Kumar Mondal, Akanksha Jain, Anup Shah, Priti Vishnoi, Priyanka Priyadarshini, Kausik Bhattacharyya, Harsha Rohira, Ashwini G Bhat, Anurag Passi, Keya Mukherjee, Kumari Sonal Choudhary, Vikas Kumar, Anshula Arora, Prabhakaran Munusamy, Ahalyaa Subramanian, Aparna Venkatachalam, S Gayathri, Sweety Raj, Vijaya Chitra, Kaveri Verma, Salman Zaheer, J Balaganesh, Malarvizhi Gurusamy, Mohammed Razeeth, Ilamathi Raja, Madhumohan Thandapani, Vishal Mevada, Raviraj Soni, Shruti Rana, Girish Muthagadhalli Ramanna, Swetha Raghavan, Sunil N Subramanya, Trupti Kholia, Rajesh Patel, Varsha Bhavnani, Lakavath Chiranjeevi, Soumi Sengupta, Pankaj Kumar Singh, Naresh Atray, Swati Gandhi, Tiruvayipati Suma Avasthi, Shefin Nisthar, Meenakshi Anurag, Pratibha Sharma, Yasha Hasija, Debasis Dash, Arun Sharma, Vinod Scaria, Zakir Thomas, OSDD Consortium, Nagasuma Chandra, Samir K Brahmachari, and Anshu Bhardwaj
- Subjects
Medicine ,Science - Abstract
A decade since the availability of Mycobacterium tuberculosis (Mtb) genome sequence, no promising drug has seen the light of the day. This not only indicates the challenges in discovering new drugs but also suggests a gap in our current understanding of Mtb biology. We attempt to bridge this gap by carrying out extensive re-annotation and constructing a systems level protein interaction map of Mtb with an objective of finding novel drug target candidates. Towards this, we synergized crowd sourcing and social networking methods through an initiative 'Connect to Decode' (C2D) to generate the first and largest manually curated interactome of Mtb termed 'interactome pathway' (IPW), encompassing a total of 1434 proteins connected through 2575 functional relationships. Interactions leading to gene regulation, signal transduction, metabolism, structural complex formation have been catalogued. In the process, we have functionally annotated 87% of the Mtb genome in context of gene products. We further combine IPW with STRING based network to report central proteins, which may be assessed as potential drug targets for development of drugs with least possible side effects. The fact that five of the 17 predicted drug targets are already experimentally validated either genetically or biochemically lends credence to our unique approach.
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- 2012
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3. Climate change as a driving factor for emerging contaminants
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Keya Mukherjee
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- 2023
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4. Food and Agriculture Organization of the United Nations (FAO)
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Markus Lipp, Catherine Bessy, Andrew Cannavan, Eleonora Dupouy, Vittorio Fattori, Christine Kopko, Jeffrey Lejeune, Keya Mukherjee, Jorge Pinto Ferreira, Dirk Schulz, Angeliki Vlachou, and Kang Zhou
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- 2023
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5. List of contributors
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Amie Adkin, Timothy E.H. Allen, Felipe Alves de Almeida, Lucia E. Anelich, Mark Arnold, Sandrine Auger, Tessa Avermaete, Craig Baker-Austin, Forrest L. Bayer, Kiran N. Bhilegaonkar, Xiaoyu Bi, W. Marty Blom, Alan R. Boobis, Marija Boskovic, Hans Bouwmeester, Gary Bowering, Ioannis S. Boziaris, Christopher J. Breen, Hugo Brouwer, Ian Brown, Robert L. Buchanan, Elna M. Buys, Jane M. Caldwell, Elena Canellas, Deisy Guimarães Carneiro, Karin Carstensen, Brayan R.H. Cervantes-Huamán, Roger Clemens, Luca Cocolin, Samuel M. Cohen, David Coles, Alessia Cossettini, Natália Cruz-Martins, György Csikó, Michelle Danyluk, Wageh Sobhy Darwish, Barbara De Coninck, Christina A. Mireles DeWitt, B.C. Dlamini, John Doe, Simon Douglas Kelly, Eleonora Dupouy, Gerhard Eisenbrand, James A. Elegbeleye, Pablo Estévez, Ricardo Franco-Duarte, Leonardo Luiz de Freitas, Nigel French, Lynn J. Frewer, Yuqi Fu, Shoji Fukushima, Ana Gago-Martinez, Alejandro Dorado Garcia, Steven M. Gendel, Anne Gerardi, Anuradha Ghosh, Milica Glisic, Samuel Benrejeb Godefroy, Nigel J. Gooderham, Gerard Govers, Tomasz Grenda, F. Peter Guengerich, Sandrine Guillou, Steve Gutsell, Muriel Guyard-Nicodème, Nabila Haddad, Ndaindila N.K. Haindongo, Christie L. Harman, Thomas Hartung, A. Wallace Hayes, Graham Head, Stephen S. Hecht, Jeljer Hoekstra, Louwrens Hoffman, Olivier Honnay, Geert Houben, Jan Jetten, Shan Jin, Karen Job, Snehal Kadam, Shraddha Karanth, Agnes Karmaus, Manos Karvounis, Fumiko Kasuga, Karishma S. Kaushik, Marc C. Kennedy, John G. Keogh, Wannes Keulemans, Nida Khan, Michael E. Knowles, Dimitra Kogiannou, Serhii Kolesnyk, Rahul P. Kolhe, Timm Konold, Zoi Kotsiri, Matt Krug, Krzysztof Kwiatek, Youngjoo Kwon, Francesca Latronico, José M. Leao, Jeffrey T. LeJeune, Wenjing Li, Matthew J. Linman, Rebeca López-García, Thomas Luechtefeld, Bernadene Magnuson, Louise Manning, Nikos Manouselis, Marisa Manzano, Marco Marin, María Salomé Mariotti, Jaime Martinez-Urtaza, Lynn M. McMullen, Cronan McNamara, Angel Medina, N.N. Mehlomakulu, Jyotigna M. Mehta, Marjolein Meijerink, J. David Miller, E.N. Clare Mills, Stephen C. Mitchell, Angelo Moretto, Desmond T. Mugadza, Keya Mukherjee, Francis Z. Naab, Hanspeter Naegeli, Maristela S. Nascimento, Ivan Nastasijevic, Maarten Nauta, Lev Neretin, Cristina Nerín, Victor Ntuli, Elena G. Olson, John O’Brien, Sakshi Painuli, Efstratia Panteleli, Mihalis Papakonstantinou, Foteini F. Parlapani, Ewelina Patyra, Franco Pedreschi, Sandrine Pigat, Bert Popping, Morten Poulsen, Abani K. Pradhan, Peter Pressman, Mykola Prodanchuk, Monika Przeniosło-Siwczyńska, Ans Punt, Alfons Ramel, Abderahman Rejeb, Katherine Rich, Steven C. Ricke, Ivonne M.C.M. Rietjens, George Rigos, Carolina Ripolles-Avila, Francesco Rizzotto, Célia Fortuna Rodrigues, José Juan Rodríguez-Jerez, Martin Rose, Thomas J. Rosol, Joyjit Saha, Tor Savidge, Eyassu Seifu, Prabhakar Semwal, Thulani Sibanda, Sik Yu So, Susana Socolovsky, Giannis Stoitsis, Katelynn Stull, Marta H. Taniwaki, Sean V. Taylor, Lesa A. Thompson, Zeynal Topalcengiz, George T. Tzotzos, Michaela van den Honert, Femke L.N. Van Oijen, Maria Cristina Dantas Vanetti, Apostolos Vantarakis, Paula Vera, Jasmina Vidic, Priya Vizzini, Rosemary H. Waring, Qinglong Wu, Khaldoon Zaid-Kaylani, and Tjitske Anna Zwart
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- 2023
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6. Functional Characterization of the ycjQRS Gene Cluster from Escherichia coli: A Novel Pathway for the Transformation of <scp>d</scp>-Gulosides to <scp>d</scp>-Glucosides
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Frank M. Raushel, Tamari Narindoshvili, Keya Mukherjee, Jamison P. Huddleston, and Venkatesh V. Nemmara
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Chemistry ,Stereochemistry ,Escherichia coli Proteins ,Glucose Dehydrogenases ,Kinetics ,Nuclear magnetic resonance spectroscopy ,medicine.disease_cause ,Biochemistry ,Article ,Catalysis ,Substrate Specificity ,Transformation (genetics) ,Glucose ,Glucosides ,Multigene Family ,Gene cluster ,Escherichia coli ,medicine ,Oxidoreductases ,Oxidation-Reduction - Abstract
A combination of bioinformatics, steady-state kinetics, and NMR spectroscopy has revealed the catalytic functions of YcjQ, YcjS and YcjR from the ycj gene cluster in Escherichia coli K-12. YcjS was determined to be a 3-keto-d-glucoside dehydrogenase with a k(cat) = 22 s(−1), and k(cat)/K(m) = 2.3 × 10(4) M(−1) s(−1) for the reduction of methyl α-3-keto-d-glucopyranoside at pH 7.0 with NADH. YcjS also exhibited catalytic activity for the NAD(+)-dependent oxidation of d-glucose, methyl β-d-glucopyranoside, and 1,5-anhydro-d-glucitol. YcjQ was determined to be a 3-keto-d-guloside dehydrogenase with k(cat) = 18 s(−1), and k(cat)/K(m) = 2.0 × 10(3) M(−1) s(−1) for the reduction of methyl α-3-keto-gulopyranoside. This is first reported dehydrogenase for the oxidation of d-gulose. YcjQ also exhibited catalytic activity with d-gulose and methyl β-d-gulopyranoside. The 3-keto products from both dehydrogenases were found to be extremely labile under alkaline conditions. The function of YcjR was demonstrated to be a C-4 epimerase that interconverts 3-keto-d-gulopyranosides to 3-keto-d-glucopyranosides. These three enzymes, YcjQ, YcjR, and YcjS, thus constitute a previously unrecognized metabolic pathway for the transformation of d-gulosides to d-glucosides via the intermediate formation of 3-keto-d-guloside and 3-keto-d-glucoside.
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- 2019
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7. Structure and Reaction Mechanism of YcjR, an Epimerase That Facilitates the Interconversion of d-Gulosides to d-Glucosides in
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Mark F, Mabanglo, Jamison P, Huddleston, Keya, Mukherjee, Zane W, Taylor, and Frank M, Raushel
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Models, Molecular ,Escherichia coli K12 ,Glucosides ,Escherichia coli Proteins ,Molecular Conformation ,Stereoisomerism ,Crystallography, X-Ray ,Article - Abstract
YcjR from Escherichia coli K-12 MG1655 catalyzes the manganese-dependent reversible epimerization of 3-keto-α-D-gulosides to the corresponding 3-keto-α-D-glucosides as a part of a proposed catabolic pathway for the transformation of D-gulosides to D-glucosides. The three-dimensional structure of the manganese-bound enzyme was determined by X-ray crystallography. The divalent manganese ion is coordinated to the enzyme by ligation to Glu-146, Asp-179, His-205, and Glu-240. When either of the two active site glutamate residues are mutated to glutamine the enzyme loses all catalytic activity for the epimerization of α-methyl-3-keto-D-glucoside at C4. However, the E240Q mutant is able to catalyze hydrogen/deuterium exchange of the proton at C4 of α-methyl-3-keto-D-glucoside in solvent D(2)O. The E146Q mutant does not catalyze this exchange reaction. These results indicate that YcjR catalyzes the isomerization of 3-keto-D-glucosides via proton abstraction at C4 by Glu-146 to form a cis-enediolate intermediate that is subsequently protonated on the opposite face by Glu-240 to generate the corresponding 3-keto-D-guloside. This conclusion is supported by docking of the cis-enediolate intermediate into the active site of YcjR based on the known binding orientation of D-fructose and D-psicose in the active site of D-psicose-3-epimerase. It is proposed that YcjR be named 3-keto-D-glucoside-4-epimerase.
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- 2020
8. Discovery of a Kojibiose Phosphorylase in Escherichia coli K-12
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Frank M. Raushel, Keya Mukherjee, and Tamari Narindoshvili
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Lipopolysaccharides ,0301 basic medicine ,Kojibiose ,030106 microbiology ,Porins ,Disaccharides ,medicine.disease_cause ,Biochemistry ,Catalysis ,Article ,Substrate Specificity ,Cell wall ,03 medical and health sciences ,chemistry.chemical_compound ,Glycogen phosphorylase ,medicine ,Enzyme kinetics ,Escherichia coli ,chemistry.chemical_classification ,Mannosephosphates ,Escherichia coli K12 ,biology ,Chemistry ,Escherichia coli Proteins ,Substrate (chemistry) ,Gene Expression Regulation, Bacterial ,biology.organism_classification ,Teichoic Acids ,Kinetics ,Glucose ,030104 developmental biology ,Enzyme ,Glucosyltransferases ,Bacteria ,Bacterial Outer Membrane Proteins - Abstract
The substrate profiles for three uncharacterized enzymes (YcjM, YcjT, and YcjU) that are expressed from a cluster of twelve genes (ycjM-W and ompG) of unknown function in Escherichia coli K-12 have been determined. Through a comprehensive bioinformatic and steady-state kinetic analysis, the catalytic function of YcjT was determined to be kojibiose phosphorylase. In the presence of saturating phosphate and kojibiose (α-(1,2)-D-glucose-D-glucose) this enzyme catalyzes the formation of D-glucose and β-D-glucose-1-phosphate (k(cat) = 1.1 s(−1), K(m) = 1.05 mM, and k(cat)/K(m) = 1.12 x 10(3) M(−1) s(−1)). Additionally, it was also shown that in the presence of β-D-glucose-1-phosphate, YcjT can catalyze the formation of other disaccharides using 1,5-anhydro-D-glucitol, L-sorbose, D-sorbitol or L-iditol as a substitute for D-glucose. Kojibiose is a component of cell wall lipoteichoic acids in Gram-positive bacteria and is of interest as a potential low-calorie sweetener and prebiotic. YcjU was determined to be a β-phosphoglucomutase that catalyzes the isomerization of β-D-glucose-1-phosphate (k(cat) = 21 s(−1), K(m) = 18 μM, and k(cat)/K(m) = 1.1 x 10(6) M(−1) s(−1)) to D-glucose-6-phosphate. YcjU was also shown to exhibit catalytic activity with β-D-allose-1-phosphate, β-D-mannose-1-phosphate, and β-D-galactose-1-phosphate. YcjM catalyzes the phosphorolysis of α-(1,2)-D-glucose-D-glycerate with a k(cat) = 2.1 s(−1), K(m) = 69 μM, and k(cat)/K(m) = 3.1 x 10(4) M(−1) s(−1).
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- 2018
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9. Climate change: Unpacking the burden on food safety
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Keya Mukherjee
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- 2020
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10. Thermal conductivity of multiferroic material YBa1-xSrxCuFeO5 (x = 0, 0.25, 0.5)
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C. S. Yadav, Keya Mukherjee, and Surender Lal
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Thermal conductivity ,Materials science ,Condensed matter physics ,Transition temperature ,Doping ,Multiferroics ,Dielectric ,Atmospheric temperature range ,Crystallographic defect ,Perovskite (structure) - Abstract
YBaCuFeO5 is a multiferroic compound, which has the magnetic and dielectric transition temperature above 200 K. The multiferroic properties of the compound can be tuned by increasing the distortion or changing chemical pressure in the system. The structure can be distorted via non-magnetic substitution at Ba site or by replacing Y with some other rare earth ions. The partial replacement of Ba with Sr shifts the magnetic transition towards higher temperature while dielectric transition shifts towards lower temperature. Here we have investigated the thermal conductivity of the layered perovskite materials YBa1-xSrxCuFeO5 (x = 0, 0.25, 0.5) in the temperature range of 2 K to 300 K. Our results indicates that the thermal conductivity of the compound decreases upon Sr doping. The decrease in the thermal conductivity is due to the increase in various defects in the crystals such as point defects in the system.
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- 2018
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11. Students’ Perceptions of the Effect of Flipping Online Classes Using a Synchronous Interactive Online Tool
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Karen Hahn, Carol Todd, Lin Carver, and Keya Mukherjee
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Graduate education ,Computer science ,Online instruction ,media_common.quotation_subject ,Online learning ,Student engagement ,General Medicine ,Perception ,Online course ,Pedagogy ,ComputingMilieux_COMPUTERSANDEDUCATION ,Mathematics education ,Adult Learning ,media_common - Abstract
Online instruction is a growing field, but there are concerns about lack of student engagement with mastery of content. Researchers at a small, private, southern university were concerned about increasing student engagement with online course content. A synchronous interactive online tool (SIOT) was added to six sections of online graduate education courses. Data was collected and analyzed from the university administered end of the course survey questions asking students to rate their course learning. Student survey responses were compared from courses without a SIOT, courses where a SIOT was used for office hours, and courses where a SIOT was used for assignments. The differences in the question means from end of the course survey without the SIOT and those where the SIOT was used for office hours were not significant. However, when the SIOT was used to provide instruction related to student assignments, the data from the question responses were significantly more positive. Students 1) became more confident; 2) gained an excellent understanding of the concepts; 3) gained significant knowledge; 4) learned to analyze and critically evaluate; and 5) learned to apply course concepts to solve problems. Consequently it became evident that the implementation of the SIOT did not have a significant effect. The important component that impacted students’ perception of their content understanding was the way in which the SIOT was used within the online course.
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- 2013
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12. Introgression of null allele of Kunitz trypsin inhibitor through marker-assisted backcross breeding in soybean (Glycine max L. Merr.)
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Shivakumar Maranna, Khushbu Verma, Akshay Talukdar, S. K. Lal, Anil Kumar, and Keya Mukherjee
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0106 biological sciences ,0301 basic medicine ,Germplasm ,Trypsin inhibitor ,Null allele ,Biology ,01 natural sciences ,Kunitz trypsin inhibitor ,03 medical and health sciences ,Genetics ,Genetics(clinical) ,Inbreeding ,Plant breeding ,Selection, Genetic ,Genetics (clinical) ,Alleles ,SSR markers ,Kunitz STI protease inhibitor ,food and beverages ,Background selection ,Plant Breeding ,030104 developmental biology ,Genetic marker ,Marker-assisted backcross breeding ,Backcrossing ,Soybeans ,Foreground and background selection ,Trypsin Inhibitor, Kunitz Soybean ,Gene Deletion ,010606 plant biology & botany ,Microsatellite Repeats ,Research Article - Abstract
Background Presence of Kunitz trypsin inhibitor (KTI) in soybean seeds necessitates pre-heat treatment of the soy-flour for its inactivation before using it in food and feed products. The heat treatment not only enhances processing costs of the soy-based foods and feeds but also affects seed-protein quality and solubility. Genetic elimination of KTI is an important and effective approach. Therefore, molecular marker-assisted backcross breeding (MABB) approach was adopted for genetic elimination of KTI from two popular soybean genotypes, DS9712 and DS9814. PI542044, an exotic germplasm line was used as donor of the kti allele which inhibits functional KTI peptide production. Results Foreground selection for the kti allele was performed with three closely linked SSR markers while background selection was done with 93 polymorphic SSR markers. Plants in the BC1F1 generation were found to recover 70.4–87.63 % and 60.26–73.78 % of the recurrent parent genome (RPG) of DS9712 and DS9814, respectively. Similarly, selected plants in the BC2F1 generation had 93.01–98.92 % and 83.3–91.67 % recovery of their respective RPGs. Recombinant selection was performed so as to identify plants with minimal linkage drag. Biochemical analysis of the seeds of the selected plants (ktikti) confirmed absence of KTI peptides in the seeds. Phenotypically, the selected plants were comparable to the respective recurrent parent in yield and other traits. Conclusions MABB approach helped in speedy development of 6 KTI free breeding lines of soybean. Such lines will be suitable for the farmers and the soybean industries to use in production of soy-based foods and feeds without pre-heat treatment of the soy-flour. It would contribute towards wider acceptability of soy-based foods and feeds. Electronic supplementary material The online version of this article (doi:10.1186/s12863-016-0413-2) contains supplementary material, which is available to authorized users.
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- 2016
13. Additional file 1: Table S1. of Introgression of null allele of Kunitz trypsin inhibitor through marker-assisted backcross breeding in soybean (Glycine max L. Merr.)
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Shivakumar Maranna, Khushbu Verma, Akshay Talukdar, Lal, Sanjay, Kumar, Anil, and Keya Mukherjee
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Recovery of recurrent parent (DS9712) genome in BC1F1 generation. Table S2. Recovery of recurrent parent (DS9814) genome in BC1F1 generation. Table S3. Recovery of recurrent parent genome (RPG) in BC2F1 generation. Table S4. Recombinant selections in BC2F1 generation of DS9712 cross. Table S5. Mean performance of the BC2F2 families under field conditions. Table S6. Details of the SSR markers screened for parental polymorphism between the recurrent (DS9712) and donor parent (PI542044). Table S7. Details of the Simple Sequence Repeat markers screened for parental polymorphism between the recurrent (DS9814) and donor parent (PI542044). (DOC 605Â kb)
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- 2016
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14. Identifying subset errors in multiple sequence alignments
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Bruck Taddese, Aparna Roy, Shabana Vohra, Keya Mukherjee, Phani K. Thimmaraju, Christopher J. R. Illingworth, Lisa M. Simpson, Christopher A. Reynolds, and Sree V. Chintapalli
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Multiple sequence alignment ,Sequence Homology, Amino Acid ,Computer science ,Degenerate energy levels ,General Medicine ,Bioinformatics ,Sequence identity ,Receptors, G-Protein-Coupled ,Structural Biology ,Amino Acid Sequence ,Sequence Alignment ,Molecular Biology ,Algorithm ,Software ,Alignment-free sequence analysis ,Type I and type II errors - Abstract
Multiple sequence alignment (MSA) accuracy is important, but there is no widely accepted method of judging the accuracy that different alignment algorithms give. We present a simple approach to detecting two types of error, namely block shifts and the misplacement of residues within a gap. Given a MSA, subsets of very similar sequences are generated through the use of a redundancy filter, typically using a 70–90% sequence identity cut-off. Subsets thus produced are typically small and degenerate, and errors can be easily detected even by manual examination. The errors, albeit minor, are inevitably associated with gaps in the alignment, and so the procedure is particularly relevant to homology modelling of protein loop regions. The usefulness of the approach is illustrated in the context of the universal but little known [K/R]KLH motif that occurs in intracellular loop 1 of G protein coupled receptors (GPCR); other issues relevant to GPCR modelling are also discussed.
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- 2014
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15. Crowd sourcing a new paradigm for interactome driven drug target identification in Mycobacterium tuberculosis
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Swati Gandhi, Vishal Mevada, Varsha Bhavnani, Aparna Venkatachalam, Nagasuma Chandra, Anurag Passi, Gayathri S, Soumi Sengupta, Swetha Raghavan, Trupti Kholia, Anupam Kumar Mondal, Pankaj Kumar Singh, Samir K. Brahmachari, Debasis Dash, Tiruvayipati Suma Avasthi, Anup Shah, Girish Muthagadhalli Ramanna, Malarvizhi Gurusamy, Balaganesh J, Madhumohan Thandapani, Pratibha Sharma, Harsha Rohira, Arun Sharma, Anshula Arora, Prabhakaran Munusamy, Rohit Vashisht, Kumari Sonal Choudhary, Zakir Thomas, Keya Mukherjee, Ilamathi Raja, Raviraj Soni, Priti Vishnoi, Priyanka Priyadarshini, Shruti Rana, Ashwini G. Bhat, Vinod Scaria, Kaveri Verma, Rajesh Patel, Mohammed Razeeth, Ahalyaa Subramanian, Kausik Bhattacharyya, Salman Zaheer, Lakavath Chiranjeevi, Sweety Raj, Vijaya Chitra, Anshu Bhardwaj, Shefin Nisthar, Meenakshi Anurag, Vikas Kumar, Yasha Hasija, Naresh Atray, Akanksha Jain, Sunil N. Subramanya, and OSDD Consortium
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Bacterial Diseases ,Drugs and Devices ,Drug Research and Development ,Proteome ,Science ,Gene regulatory network ,Genomics ,Context (language use) ,Computational biology ,Biology ,Genome ,Interactome ,Biochemistry ,Mycobacterium ,Drug Delivery Systems ,Bacterial Proteins ,Genome Analysis Tools ,ddc:570 ,Protein Interaction Mapping ,Drug Discovery ,Genetics ,Humans ,Tuberculosis ,Gene Regulatory Networks ,Protein Interactions ,Whole genome sequencing ,Multidisciplinary ,Drug discovery ,Macrophages ,Systems Biology ,Proteins ,Computational Biology ,Mycobacterium tuberculosis ,Infectious Diseases ,Host-Pathogen Interactions ,Crowdsourcing ,Medicine ,Gene Function ,Genome, Bacterial ,Signal Transduction ,Research Article - Abstract
A decade since the availability of Mycobacterium tuberculosis (Mtb) genome sequence, no promising drug has seen the light of the day. This not only indicates the challenges in discovering new drugs but also suggests a gap in our current understanding of Mtb biology. We attempt to bridge this gap by carrying out extensive re-annotation and constructing a systems level protein interaction map of Mtb with an objective of finding novel drug target candidates. Towards this, we synergized crowd sourcing and social networking methods through an initiative `Connect to Decode' (C2D) to generate the first and largest manually curated interactome of Mtb termed `3interactome pathway' (IPW), encompassing a total of 1434 proteins connected through 2575 functional relationships. Interactions leading to gene regulation, signal transduction, metabolism, structural complex formation have been catalogued. In the process, we have functionally annotated 87% of the Mtb genome in context of gene products. We further combine IPW with STRING based network to report central proteins, which may be assessed as potential drug targets for development of drugs with least possible side effects. The fact that five of the 17 predicted drug targets are already experimentally validated either genetically or biochemically lends credence to our unique approach.
- Published
- 2011
16. Identifying subset errors in multiple sequence alignments
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Aparna Roy, Bruck Taddese, Shabana Vohra, Phani K. Thimmaraju, Christopher J.R. Illingworth, Lisa M. Simpson, Keya Mukherjee, Christopher A. Reynolds, Sree V. Chintapalli, Aparna Roy, Bruck Taddese, Shabana Vohra, Phani K. Thimmaraju, Christopher J.R. Illingworth, Lisa M. Simpson, Keya Mukherjee, Christopher A. Reynolds, and Sree V. Chintapalli
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- 2015
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17. Identifying subset errors in multiple sequence alignments
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Aparna Roy, Bruck Taddese, Shabana Vohra, Phani K. Thimmaraju, Christopher J.R. Illingworth, Lisa M. Simpson, Keya Mukherjee, Christopher A. Reynolds, Sree V. Chintapalli, Aparna Roy, Bruck Taddese, Shabana Vohra, Phani K. Thimmaraju, Christopher J.R. Illingworth, Lisa M. Simpson, Keya Mukherjee, Christopher A. Reynolds, and Sree V. Chintapalli
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- 2014
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18. Genetic elimination of Kunitz trypsin inhibitors (KTI) from DS9712, an Indian soybean variety
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Akshay Talukdar, M. Shivakumar, Anil Kumar, Khushbu Verma, Keya Mukherjee, and Swati Lal
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Germplasm ,Genetics ,business.industry ,Trypsin inhibitor ,food and beverages ,Plant Science ,Biology ,Background selection ,Trypsin ,Null allele ,Genome ,Biotechnology ,Backcrossing ,medicine ,Allele ,business ,medicine.drug - Abstract
In this study, the null allele of Kunitz trypsin inhibitor i.e. kti was transferred from PI542044, a germplasm line free from KTI in to a popular Indian soybean variety DS9712 through marker assisted backcross breeding (MABB) approach. Following foreground selection with 3 SSR markers viz., Satt228, Satt429 and Satt409 that are linked to kti, and background selection with 93 polymorphic SSR markers in BC1F1 and BC2F1 generations, target plants were selected that had 96–98% recovery of the recurrent parent genome (RPG). In BC2F2 generation, plants homozygous the for target allele (kti kti) were identified and harvested individually. In BC2F3 generation, seed proteins of the selected lines were extracted and analyzed through native polyacrylamide gel electrophoresis (PAGE) and confirmed absence of the KTI peptides. Four lines were identified that were free from Kunitz trypsin inhibitor but retained nearly all of the phenotypic features of DS9712. This study exemplified successful elimination of KTI from soybean seeds through MABB approach.
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- 2014
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19. Raising General Awareness of Language Learning Strategies: A Little Bit Goes a Long Way
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Jeffra Flaitz, Sallie Fox, Keya Mukherjee, and Carine Feyten
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Linguistics and Language ,media_common.quotation_subject ,Teaching method ,Metacognition ,Second-language acquisition ,Raising (linguistics) ,Linguistics ,Education ,Language learning strategies ,Consciousness raising ,Language education ,Consciousness ,Psychology ,media_common - Abstract
Une etude experimentale examine l'effet, chez des apprenants en espagnol L2, d'activites permettant aux etudiants d'acquerir de maniere dynamique une conscience des strategies d'apprentissage de la langue
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- 1995
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20. The Rearrangement of 3, 4-Dihydro-2, 2-Dimethy-2H, 5H-Pyrano [2, 3-b][1] Benzopyran-5-Ones With DDQ
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K. K. Arora, Irani Mukherjee, V. K. Ahluwalia, and Keya Mukherjee
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chemistry.chemical_compound ,Chemistry ,Organic Chemistry ,Dehydrogenation ,Medicinal chemistry ,Pyranocoumarins ,Benzopyran - Abstract
A novel rearrangement of 3, 4-dihydro-2, 2-dimethyl-2H, 5H-pyrano [2, 3-b] [1] benzopyran-5-ones (dihydropyranochromones) has been observed during the dehydrogenation with DDQ. The products obtained are found to be 2, 2-dimethyl-2H, 5H-pyrano [3, 2-c] [1] benzopyran-5-ones (pyranocoumarins).
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- 1986
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21. Cinnamylation of Phenolic Compounds with Cinnamyl Alcohol: One Step Synthesis of Flavans
- Author
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V. K. Ahluwalia, K. K. Arora, and Keya Mukherjee
- Subjects
Acid catalysis ,chemistry.chemical_compound ,Cinnamyl alcohol ,Bicyclic molecule ,Chemistry ,Organic Chemistry ,Organic chemistry ,One-Step ,Thermal reaction ,Resorcinol ,Phosphoric acid ,Catalysis - Abstract
Cinnamylation par le phenyl-3 propene-2 ol-1 de dihydroxy-2',4' et trihydroxy-2',3',4' acetophenones, de chloro-4 phenol ou de resorcinol en presence d'acide phosphorique a 75-80°C: obtention de flavanes
- Published
- 1984
- Full Text
- View/download PDF
22. ChemInform Abstract: THE REACTION OF 3-HYDROXYCOUMARIN WITH BENZALACETONE
- Author
-
Keya Mukherjee, V. K. Ahluwalia, and Nimmi Rani
- Subjects
Chemistry ,Organic chemistry ,General Medicine - Published
- 1981
- Full Text
- View/download PDF
23. ChemInform Abstract: The Rearrangement of 3,4-Dihydro-2,2-dimethyl-2H,5H-pyrano(2,3-b)(1)benzopyran-5-ones with DDQ
- Author
-
V. K. Ahluwalia, Keya Mukherjee, Irani Mukherjee, and K. K. Arora
- Subjects
chemistry.chemical_compound ,chemistry ,General Medicine ,Medicinal chemistry ,Benzopyran - Published
- 1987
- Full Text
- View/download PDF
24. ChemInform Abstract: CONDENSATION OF 4-HYDROXYCOUMARINS WITH 2-METHYLBUT-3-EN-2-OL: SYNTHESIS OF 2,2-DIMETHYL-2H,5H-PYRANO(3,2-C)(1)BENZOPYRAN-5-ONES
- Author
-
K. K. Arora, V. K. Ahluwalia, and Keya Mukherjee
- Subjects
chemistry.chemical_compound ,Chemistry ,Condensation ,General Medicine ,Medicinal chemistry ,Benzopyran - Published
- 1985
- Full Text
- View/download PDF
25. The Reaction of 3-Hydroxycoumarin with Benzalacetone
- Author
-
Vinod Kumar Ahluwalia, Keya Mukherjee, and Nimmi Rani
- Subjects
Pharmacology ,Organic Chemistry ,Analytical Chemistry - Published
- 1981
- Full Text
- View/download PDF
Catalog
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