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1,347 results on '"Verpoorte, Robert"'

1. Natural Products Drug Discovery: On Silica or In-Silico?

Author

Kim, Hye Kyong, Choi, Young Hae, Verpoorte, Robert, Michel, Martin C., Editor-in-Chief, Barrett, James E., Editorial Board Member, Centurión, David, Editorial Board Member, Flockerzi, Veit, Editorial Board Member, Geppetti, Pierangelo, Editorial Board Member, Hofmann, Franz B., Editorial Board Member, Meier, Kathryn Elaine, Editorial Board Member, Page, Clive P., Editorial Board Member, Wang, KeWei, Editorial Board Member, Ghini, Veronica, editor, Stringer, Kathleen A., editor, and Luchinat, Claudio, editor

Published
2023
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4. The value of universally available raw NMR data for transparency, reproducibility, and integrity in natural product research.

Author

McAlpine, James B, Chen, Shao-Nong, Kutateladze, Andrei, MacMillan, John B, Appendino, Giovanni, Barison, Andersson, Beniddir, Mehdi A, Biavatti, Maique W, Bluml, Stefan, Boufridi, Asmaa, Butler, Mark S, Capon, Robert J, Choi, Young H, Coppage, David, Crews, Phillip, Crimmins, Michael T, Csete, Marie, Dewapriya, Pradeep, Egan, Joseph M, Garson, Mary J, Genta-Jouve, Grégory, Gerwick, William H, Gross, Harald, Harper, Mary Kay, Hermanto, Precilia, Hook, James M, Hunter, Luke, Jeannerat, Damien, Ji, Nai-Yun, Johnson, Tyler A, Kingston, David GI, Koshino, Hiroyuki, Lee, Hsiau-Wei, Lewin, Guy, Li, Jie, Linington, Roger G, Liu, Miaomiao, McPhail, Kerry L, Molinski, Tadeusz F, Moore, Bradley S, Nam, Joo-Won, Neupane, Ram P, Niemitz, Matthias, Nuzillard, Jean-Marc, Oberlies, Nicholas H, Ocampos, Fernanda MM, Pan, Guohui, Quinn, Ronald J, Reddy, D Sai, Renault, Jean-Hugues, Rivera-Chávez, José, Robien, Wolfgang, Saunders, Carla M, Schmidt, Thomas J, Seger, Christoph, Shen, Ben, Steinbeck, Christoph, Stuppner, Hermann, Sturm, Sonja, Taglialatela-Scafati, Orazio, Tantillo, Dean J, Verpoorte, Robert, Wang, Bin-Gui, Williams, Craig M, Williams, Philip G, Wist, Julien, Yue, Jian-Min, Zhang, Chen, Xu, Zhengren, Simmler, Charlotte, Lankin, David C, Bisson, Jonathan, and Pauli, Guido F

Subjects
Biological Products, Magnetic Resonance Spectroscopy, Reproducibility of Results, Molecular Conformation, Generic health relevance, Organic Chemistry, Chemical Sciences, Biological Sciences, Medical and Health Sciences
Abstract

Covering: up to 2018With contributions from the global natural product (NP) research community, and continuing the Raw Data Initiative, this review collects a comprehensive demonstration of the immense scientific value of disseminating raw nuclear magnetic resonance (NMR) data, independently of, and in parallel with, classical publishing outlets. A comprehensive compilation of historic to present-day cases as well as contemporary and future applications show that addressing the urgent need for a repository of publicly accessible raw NMR data has the potential to transform natural products (NPs) and associated fields of chemical and biomedical research. The call for advancing open sharing mechanisms for raw data is intended to enhance the transparency of experimental protocols, augment the reproducibility of reported outcomes, including biological studies, become a regular component of responsible research, and thereby enrich the integrity of NP research and related fields.

Published
2019

5. Correction: The value of universally available raw NMR data for transparency, reproducibility, and integrity in natural product research

Author

McAlpine, James B, Chen, Shao-Nong, Kutateladze, Andrei, MacMillan, John B, Appendino, Giovanni, Barison, Andersson, Beniddir, Mehdi A, Biavatti, Maique W, Bluml, Stefan, Boufridi, Asmaa, Butler, Mark S, Capon, Robert J, Choi, Young H, Coppage, David, Crews, Phillip, Crimmins, Michael T, Csete, Marie, Dewapriya, Pradeep, Egan, Joseph M, Garson, Mary J, Genta-Jouve, Grégory, Gerwick, William H, Gross, Harald, Harper, Mary Kay, Hermanto, Precilia, Hook, James M, Hunter, Luke, Jeannerat, Damien, Ji, Nai-Yun, Johnson, Tyler A, Kingston, David GI, Koshino, Hiroyuki, Lee, Hsiau-Wei, Lewin, Guy, Li, Jie, Linington, Roger G, Liu, Miaomiao, McPhail, Kerry L, Molinski, Tadeusz F, Moore, Bradley S, Nam, Joo-Won, Neupane, Ram P, Niemitz, Matthias, Nuzillard, Jean-Marc, Oberlies, Nicholas H, Ocampos, Fernanda MM, Pan, Guohui, Quinn, Ronald J, Reddy, D Sai, Renault, Jean-Hugues, Rivera-Chávez, José, Robien, Wolfgang, Saunders, Carla M, Schmidt, Thomas J, Seger, Christoph, Shen, Ben, Steinbeck, Christoph, Stuppner, Hermann, Sturm, Sonja, Taglialatela-Scafati, Orazio, Tantillo, Dean J, Verpoorte, Robert, Wang, Bin-Gui, Williams, Craig M, Williams, Philip G, Wist, Julien, Yue, Jian-Min, Zhang, Chen, Xu, Zhengren, Simmler, Charlotte, Lankin, David C, Bisson, Jonathan, and Pauli, Guido F

Subjects
Organic Chemistry, Chemical Sciences, Clinical Research, Biological Sciences, Medical and Health Sciences, Medicinal and biomolecular chemistry, Traditional, complementary and integrative medicine
Abstract

Correction for 'The value of universally available raw NMR data for transparency, reproducibility, and integrity in natural product research' by James B. McAlpine et al., Nat. Prod. Rep., 2018, DOI: .

Published
2019

21. Contributors

Author

Aguilar, Carme, primary, Castells, Cecilia B., additional, Alvarez-Rivera, Gerardo, additional, Amézqueta, S., additional, Ballesteros-Vivas, Diego, additional, Bitas, Dimitrios, additional, Bueno, Monica, additional, Calull, Marta, additional, Cerdà, Víctor, additional, Chemat, Farid, additional, Choi, Young Hae, additional, Coutinho, João A.P., additional, Cunha, Sara C., additional, Dietz, Mark L., additional, Englert, Michael, additional, Feizi, Neda, additional, Fernandes, José O., additional, Fontanals, Núria, additional, Fuguet, E., additional, Gagliardi, Leonardo G., additional, Gonzalez, Cecilia Guizar, additional, González-Curbelo, Miguel Ángel, additional, González-Sálamo, Javier, additional, Hammann, Simon, additional, Hawkins, Cory A., additional, Hernández-Borges, Javier, additional, Ibañez, Elena, additional, Jain, Archana, additional, Jin, Xiangzi, additional, Kaw, Han Yeong, additional, Kokosa, John M., additional, Li, Donghao, additional, López-Bascón, M.A., additional, Luque de Castro, M.D., additional, Maya, Fernando, additional, Mendiola, Jose A., additional, Moradi, Morteza, additional, Müller, Marco, additional, Narbutt, Jerzy, additional, Pacheco-Fernández, Idaira, additional, Pedersen-Bjergaard, Stig, additional, Pereira, Jorge F.B., additional, Pino, Verónica, additional, Pocurull, Eva, additional, Poole, Colin F., additional, Ràfols, C., additional, Ronco, Nicolás R., additional, Rosés, M., additional, Samanidou, Victoria, additional, Subirats, X., additional, Varela-Martínez, Diana A., additional, Verma, Krishna K., additional, Vernès, Léa, additional, Verpoorte, Robert, additional, Vetter, Walter, additional, Vian, Maryline, additional, and Yamini, Yadollah, additional

Published
2020
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42. Best Practice in the chemical characterisation of extracts used in pharmacological and toxicological research—The ConPhyMP—Guidelines

Author

Heinrich, Michael, Jalil, Banaz, Abdel-Tawab, Mona, Echeverria, Javier, Kulić, Žarko, McGaw, Lyndy J., Pezzuto, John M., Potterat, Olivier, Wang, Jia-Bo, Appendino, Giovanni, Arroo, R. R. J., Atanasov, Atanas G., Barron, Denis, Bauer, Rudolf, Cañigueral, Salvador, Efferth, Thomas, Fürst, Robert, Izzo, Angelo A., Kelber, Olaf, Kemper, Kathi, Monagas, Maria, Pendry, Barbara, Pereda-Miranda, Rogelio, Rollinger, Judith, Russo, Alessandra, Verpoorte, Robert, Visioili, Francesco, Vollmer, Günter, and Wohlmuth, Hans

Subjects
HPTLC, analytical methods, extract characterisation, medicinal plant, phytochemical analysis, Best practice, HPLC
Abstract

The Advisory group on Consensus statement on the Phytochemical Characterisation of Medicinal Plant extracts (ConPhyMP) is a consortium of experts on Pharmacognosy and Phytochemistry open access article Background: Research onmedicinal plants and extracts derived fromthem differs from studies performed with single compounds. Extracts obtained from plants, algae, fungi, lichens or animals pose some unique challenges: they are multicomponent mixtures of active, partially active and inactive substances, and the activity is often not exerted on a single target. Their composition varies depending on the method of preparation and the plant materials used. This complexity and variability impact the reproducibility and interpretation of pharmacological, toxicological and clinical research. Objectives: This project develops best practice guidelines to ensure reproducibility and accurate interpretations of studies using medicinal plant extracts. The focus is on herbal extracts used in pharmacological, toxicological, and clinical/intervention research. Specifically, the consensus-based statement focuses on defining requirements for: 1) Describing the plant material/herbal substances, herbal extracts and herbal medicinal products used in these studies, and 2) Conducting and reporting the phytochemical analysis of the plant extracts used in these studies in a reproducible and transparent way. The process and methods: We developed the guidelines through the following process: 1) The distinction between the three main types of extracts (extract types A, B, and C), initially conceptualised by the lead author (MH), led the development of the project as such; 2) A survey among researchers of medicinal plants to gather global perspectives, opportunities, and overarching challenges faced in characterising medicinal plant extracts under different laboratory infrastructures. The survey responses were central to developing the guidelines and were reviewed by the core group; 3) A core group of 9 experts met monthly to develop the guidelines through a Delphi process; and. 4) The final draft guidelines, endorsed by the core group, were also distributed for feedback and approval to an extended advisory group of 20 experts, including many journal editors. Outcome: The primary outcome is the “Consensus statement on the Phytochemical Characterisation of Medicinal Plant extracts“ (ConPhyMP) which defines the best practice for reporting the starting plant materials and the chemical methods recommended for defining the chemical compositions of the plant extracts used in such studies. The checklist is intended to be an orientation for authors in medicinal plant research as well as peer reviewers and editors assessing such research for publication

Published
2022

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