1
|
Tiemann JKS, Szczuka M, Bouarroudj L, Oussaren M, Garcia S, Howard RJ, Delemotte L, Lindahl E, Baaden M, Lindorff-Larsen K, Chavent M, Poulain P. MDverse, shedding light on the dark matter of molecular dynamics simulations. eLife 2024; 12:RP90061. [PMID: 39212001 PMCID: PMC11364437 DOI: 10.7554/elife.90061] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/04/2024] Open
Abstract
The rise of open science and the absence of a global dedicated data repository for molecular dynamics (MD) simulations has led to the accumulation of MD files in generalist data repositories, constituting the dark matter of MD - data that is technically accessible, but neither indexed, curated, or easily searchable. Leveraging an original search strategy, we found and indexed about 250,000 files and 2000 datasets from Zenodo, Figshare and Open Science Framework. With a focus on files produced by the Gromacs MD software, we illustrate the potential offered by the mining of publicly available MD data. We identified systems with specific molecular composition and were able to characterize essential parameters of MD simulation such as temperature and simulation length, and could identify model resolution, such as all-atom and coarse-grain. Based on this analysis, we inferred metadata to propose a search engine prototype to explore the MD data. To continue in this direction, we call on the community to pursue the effort of sharing MD data, and to report and standardize metadata to reuse this valuable matter.
Collapse
Affiliation(s)
- Johanna KS Tiemann
- Linderstrøm-Lang Centre for Protein Science, Department of Biology, University of CopenhagenCopenhagenDenmark
| | - Magdalena Szczuka
- Institut de Pharmacologie et Biologie Structurale, CNRS, Université de ToulouseToulouseFrance
| | - Lisa Bouarroudj
- Université Paris Cité, CNRS, Institut Jacques MonodParisFrance
| | | | | | - Rebecca J Howard
- Department of Biochemistry and Biophysics, Science for Life Laboratory, Stockholm UniversityStockholmSweden
| | - Lucie Delemotte
- Department of applied physics, Science for Life Laboratory, KTH Royal Institute of TechnologyStockholmSweden
| | - Erik Lindahl
- Department of Biochemistry and Biophysics, Science for Life Laboratory, Stockholm UniversityStockholmSweden
- Department of applied physics, Science for Life Laboratory, KTH Royal Institute of TechnologyStockholmSweden
| | - Marc Baaden
- Laboratoire de Biochimie Théorique, CNRS, Université Paris CitéParisFrance
| | - Kresten Lindorff-Larsen
- Linderstrøm-Lang Centre for Protein Science, Department of Biology, University of CopenhagenCopenhagenDenmark
| | - Matthieu Chavent
- Institut de Pharmacologie et Biologie Structurale, CNRS, Université de ToulouseToulouseFrance
| | - Pierre Poulain
- Université Paris Cité, CNRS, Institut Jacques MonodParisFrance
| |
Collapse
|
2
|
Evans ML, Bergsma J, Merkys A, Andersen CW, Andersson OB, Beltrán D, Blokhin E, Boland TM, Castañeda Balderas R, Choudhary K, Díaz Díaz A, Domínguez García R, Eckert H, Eimre K, Fuentes Montero ME, Krajewski AM, Mortensen JJ, Nápoles Duarte JM, Pietryga J, Qi J, Trejo Carrillo FDJ, Vaitkus A, Yu J, Zettel A, de Castro PB, Carlsson J, Cerqueira TFT, Divilov S, Hajiyani H, Hanke F, Jose K, Oses C, Riebesell J, Schmidt J, Winston D, Xie C, Yang X, Bonella S, Botti S, Curtarolo S, Draxl C, Fuentes Cobas LE, Hospital A, Liu ZK, Marques MAL, Marzari N, Morris AJ, Ong SP, Orozco M, Persson KA, Thygesen KS, Wolverton C, Scheidgen M, Toher C, Conduit GJ, Pizzi G, Gražulis S, Rignanese GM, Armiento R. Developments and applications of the OPTIMADE API for materials discovery, design, and data exchange. DIGITAL DISCOVERY 2024; 3:1509-1533. [PMID: 39118978 PMCID: PMC11305395 DOI: 10.1039/d4dd00039k] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 04/15/2024] [Indexed: 08/10/2024]
Abstract
The Open Databases Integration for Materials Design (OPTIMADE) application programming interface (API) empowers users with holistic access to a growing federation of databases, enhancing the accessibility and discoverability of materials and chemical data. Since the first release of the OPTIMADE specification (v1.0), the API has undergone significant development, leading to the v1.2 release, and has underpinned multiple scientific studies. In this work, we highlight the latest features of the API format, accompanying software tools, and provide an update on the implementation of OPTIMADE in contributing materials databases. We end by providing several use cases that demonstrate the utility of the OPTIMADE API in materials research that continue to drive its ongoing development.
Collapse
Affiliation(s)
- Matthew L Evans
- UCLouvain, Institut de la Matière Condensée et des Nanosciences (IMCN) Chemin des Étoiles 8, Louvain-la-Neuve 1348 Belgium
- Matgenix SRL 185 Rue Armand Bury 6534 Gozée Belgium
| | - Johan Bergsma
- Centre Européen de Calcul Atomique et Moléculaire (CECAM), École Polytechnique Fédérale de Lausanne Avenue de Forel 3 1015 Lausanne Switzerland
| | - Andrius Merkys
- Institute of Biotechnology, Life Sciences Center, Vilnius University Saulėtekio av. 7 LT-10257 Vilnius Lithuania
| | | | - Oskar B Andersson
- Materials Design and Informatics Unit, Department of Physics, Chemistry and Biology, Linköping University Sweden
| | - Daniel Beltrán
- Institute for Research in Biomedicine (IRB Barcelona) Baldiri i Reixac 10-12 08028 Barcelona Spain
| | - Evgeny Blokhin
- Tilde Materials Informatics Straßmannstraße 25 10249 Berlin Germany
- Materials Platform for Data Science Sepapaja 6 15551 Tallinn Estonia
| | - Tara M Boland
- Computational Atomic-Scale Materials Design, Technical University of Denmark Kgs. Lyngby Denmark
| | - Rubén Castañeda Balderas
- Centro de Investigación en Materiales Avanzados, S.C. (CIMAV) Av. Miguel de Cervantes 120, Complejo Industrial Chihuahua 31136 Chihuahua Chih. Mexico
| | - Kamal Choudhary
- Material Measurement Laboratory, National Institute of Standards and Technology Gaithersburg MD 20899 USA
| | - Alberto Díaz Díaz
- Centro de Investigación en Materiales Avanzados, S.C. (CIMAV) Av. Miguel de Cervantes 120, Complejo Industrial Chihuahua 31136 Chihuahua Chih. Mexico
| | - Rodrigo Domínguez García
- Centro de Investigación en Materiales Avanzados, S.C. (CIMAV) Av. Miguel de Cervantes 120, Complejo Industrial Chihuahua 31136 Chihuahua Chih. Mexico
| | - Hagen Eckert
- Department of Mechanical Engineering and Materials Science, Duke University Durham NC 27708 USA
- Center for Extreme Materials, Duke University Durham NC 27708 USA
| | - Kristjan Eimre
- Theory and Simulation of Materials (THEOS), and National Centre for Computational Design and Discovery of Novel Materials (MARVEL), École Polytechnique Fédérale de Lausanne 1015 Lausanne Switzerland
| | | | - Adam M Krajewski
- Department of Materials Science and Engineering, The Pennsylvania State University, University Park PA 16802 USA
| | - Jens Jørgen Mortensen
- Computational Atomic-Scale Materials Design, Technical University of Denmark Kgs. Lyngby Denmark
| | | | - Jacob Pietryga
- Department of Materials Science and Engineering, Northwestern University Evanston IL 60208 USA
| | - Ji Qi
- Department of NanoEngineering, University of California, San Diego 9500 Gilman Drive, La Jolla California 92093-0448 USA
| | - Felipe de Jesús Trejo Carrillo
- Centro de Investigación en Materiales Avanzados, S.C. (CIMAV) Av. Miguel de Cervantes 120, Complejo Industrial Chihuahua 31136 Chihuahua Chih. Mexico
| | - Antanas Vaitkus
- Institute of Biotechnology, Life Sciences Center, Vilnius University Saulėtekio av. 7 LT-10257 Vilnius Lithuania
| | - Jusong Yu
- Theory and Simulation of Materials (THEOS), and National Centre for Computational Design and Discovery of Novel Materials (MARVEL), École Polytechnique Fédérale de Lausanne 1015 Lausanne Switzerland
- Laboratory for Materials Simulations (LMS), Paul Scherrer Institute (PSI) 5232 Villigen PSI Switzerland
| | - Adam Zettel
- Department of Mechanical Engineering and Materials Science, Duke University Durham NC 27708 USA
- Center for Extreme Materials, Duke University Durham NC 27708 USA
| | | | - Johan Carlsson
- Dassault Systèmes Germany GmbH Am Kabellager 11-13 51063 Cologne Germany
| | - Tiago F T Cerqueira
- CFisUC, Department of Physics, University of Coimbra Rua Larga 3004-516 Coimbra Portugal
| | - Simon Divilov
- Department of Mechanical Engineering and Materials Science, Duke University Durham NC 27708 USA
- Center for Extreme Materials, Duke University Durham NC 27708 USA
| | - Hamidreza Hajiyani
- Dassault Systèmes Germany GmbH Am Kabellager 11-13 51063 Cologne Germany
| | - Felix Hanke
- Dassault Systèmes 22 Science Park CB4 0FJ UK
| | - Kevin Jose
- Theory of Condensed Matter, Cavendish Laboratory Cambridge UK
| | - Corey Oses
- Department of Materials Science and Engineering, Johns Hopkins University Baltimore MD 21218 USA
| | - Janosh Riebesell
- Theory of Condensed Matter, Cavendish Laboratory Cambridge UK
- Lawrence Berkeley National Lab Berkeley CA USA
| | - Jonathan Schmidt
- Materials Theory, ETH Zürich Wolfgang-Pauli-Strasse 27 8093 Zurich Switzerland
| | | | - Christen Xie
- Department of NanoEngineering, University of California, San Diego 9500 Gilman Drive, La Jolla California 92093-0448 USA
| | - Xiaoyu Yang
- Computer Network Information Center, Chinese Academy of Sciences Beijing 100083 China
- University of Chinese Academy of Sciences Beijing 101408 China
- Beijing MaiGao MatCloud Technology Co. Ltd Beijing 100149 China
| | - Sara Bonella
- Centre Européen de Calcul Atomique et Moléculaire (CECAM), École Polytechnique Fédérale de Lausanne Avenue de Forel 3 1015 Lausanne Switzerland
| | - Silvana Botti
- Research Center Future Energy Materials and Systems of the University Alliance Ruhr and Interdisciplinary Centre for Advanced Materials Simulation, Ruhr University Bochum, Universitätsstraße 150 D-44801 Bochum Germany
| | - Stefano Curtarolo
- Department of Mechanical Engineering and Materials Science, Duke University Durham NC 27708 USA
- Center for Extreme Materials, Duke University Durham NC 27708 USA
| | - Claudia Draxl
- Humboldt-Universität zu Berlin, Institut für Physik and IRIS Adlershof 12489 Berlin Germany
| | - Luis Edmundo Fuentes Cobas
- Centro de Investigación en Materiales Avanzados, S.C. (CIMAV) Av. Miguel de Cervantes 120, Complejo Industrial Chihuahua 31136 Chihuahua Chih. Mexico
| | - Adam Hospital
- Institute for Research in Biomedicine (IRB Barcelona) Baldiri i Reixac 10-12 08028 Barcelona Spain
| | - Zi-Kui Liu
- Department of Materials Science and Engineering, The Pennsylvania State University, University Park PA 16802 USA
| | - Miguel A L Marques
- Research Center Future Energy Materials and Systems of the University Alliance Ruhr and Interdisciplinary Centre for Advanced Materials Simulation, Ruhr University Bochum, Universitätsstraße 150 D-44801 Bochum Germany
| | - Nicola Marzari
- Theory and Simulation of Materials (THEOS), and National Centre for Computational Design and Discovery of Novel Materials (MARVEL), École Polytechnique Fédérale de Lausanne 1015 Lausanne Switzerland
- Laboratory for Materials Simulations (LMS), Paul Scherrer Institute (PSI) 5232 Villigen PSI Switzerland
| | - Andrew J Morris
- School of Metallurgy and Materials, University of Birmingham Edgbaston Birmingham B15 2TT UK
| | - Shyue Ping Ong
- Department of NanoEngineering, University of California, San Diego 9500 Gilman Drive, La Jolla California 92093-0448 USA
| | - Modesto Orozco
- Institute for Research in Biomedicine (IRB Barcelona) Baldiri i Reixac 10-12 08028 Barcelona Spain
| | - Kristin A Persson
- Lawrence Berkeley National Lab Berkeley CA USA
- Department of Materials Science and Engineering, UC Berkeley Hearst Mining Memorial Building Berkeley 94720 CA USA
| | - Kristian S Thygesen
- Computational Atomic-Scale Materials Design, Technical University of Denmark Kgs. Lyngby Denmark
| | - Chris Wolverton
- Department of Materials Science and Engineering, Northwestern University Evanston IL 60208 USA
| | - Markus Scheidgen
- Humboldt-Universität zu Berlin, Institut für Physik and IRIS Adlershof 12489 Berlin Germany
| | - Cormac Toher
- Center for Extreme Materials, Duke University Durham NC 27708 USA
- Department of Materials Science and Engineering and Department of Chemistry and Biochemistry, The University of Texas at Dallas Richardson TX 75080 USA
| | - Gareth J Conduit
- Theory of Condensed Matter, Cavendish Laboratory Cambridge UK
- Intellegens Ltd French's Rd Cambridge CB4 3NP UK
| | - Giovanni Pizzi
- Theory and Simulation of Materials (THEOS), and National Centre for Computational Design and Discovery of Novel Materials (MARVEL), École Polytechnique Fédérale de Lausanne 1015 Lausanne Switzerland
- Laboratory for Materials Simulations (LMS), Paul Scherrer Institute (PSI) 5232 Villigen PSI Switzerland
| | - Saulius Gražulis
- Institute of Biotechnology, Life Sciences Center, Vilnius University Saulėtekio av. 7 LT-10257 Vilnius Lithuania
- Institute of Computer Science, Faculty of Mathematics and Informatics, Vilnius University Naugarduko g. 24 LT-03225 Vilnius Lithuania
| | - Gian-Marco Rignanese
- UCLouvain, Institut de la Matière Condensée et des Nanosciences (IMCN) Chemin des Étoiles 8, Louvain-la-Neuve 1348 Belgium
- Matgenix SRL 185 Rue Armand Bury 6534 Gozée Belgium
- School of Materials Science and Engineering, Northwestern Polytechnical University Xi'an Shaanxi 710072 China
| | - Rickard Armiento
- Materials Design and Informatics Unit, Department of Physics, Chemistry and Biology, Linköping University Sweden
| |
Collapse
|
3
|
Biriukov D, Vácha R. Pathways to a Shiny Future: Building the Foundation for Computational Physical Chemistry and Biophysics in 2050. ACS PHYSICAL CHEMISTRY AU 2024; 4:302-313. [PMID: 39069976 PMCID: PMC11274290 DOI: 10.1021/acsphyschemau.4c00003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Revised: 03/15/2024] [Accepted: 03/18/2024] [Indexed: 07/30/2024]
Abstract
In the last quarter-century, the field of molecular dynamics (MD) has undergone a remarkable transformation, propelled by substantial enhancements in software, hardware, and underlying methodologies. In this Perspective, we contemplate the future trajectory of MD simulations and their possible look at the year 2050. We spotlight the pivotal role of artificial intelligence (AI) in shaping the future of MD and the broader field of computational physical chemistry. We outline critical strategies and initiatives that are essential for the seamless integration of such technologies. Our discussion delves into topics like multiscale modeling, adept management of ever-increasing data deluge, the establishment of centralized simulation databases, and the autonomous refinement, cross-validation, and self-expansion of these repositories. The successful implementation of these advancements requires scientific transparency, a cautiously optimistic approach to interpreting AI-driven simulations and their analysis, and a mindset that prioritizes knowledge-motivated research alongside AI-enhanced big data exploration. While history reminds us that the trajectory of technological progress can be unpredictable, this Perspective offers guidance on preparedness and proactive measures, aiming to steer future advancements in the most beneficial and successful direction.
Collapse
Affiliation(s)
- Denys Biriukov
- CEITEC
− Central European Institute of Technology, Masaryk University, Kamenice 753/5, 625 00 Brno, Czech Republic
- National
Centre for Biomolecular Research, Faculty of Science, Masaryk University, Kamenice 753/5, 625 00 Brno, Czech Republic
| | - Robert Vácha
- CEITEC
− Central European Institute of Technology, Masaryk University, Kamenice 753/5, 625 00 Brno, Czech Republic
- National
Centre for Biomolecular Research, Faculty of Science, Masaryk University, Kamenice 753/5, 625 00 Brno, Czech Republic
- Department
of Condensed Matter Physics, Faculty of Science, Masaryk University, Kotlářská 267/2, 611 37 Brno, Czech
Republic
| |
Collapse
|
4
|
Hospital A, Orozco M. MD-DATA: the legacy of the ABC Consortium. Biophys Rev 2024; 16:269-271. [PMID: 39099843 PMCID: PMC11296981 DOI: 10.1007/s12551-024-01197-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Accepted: 04/26/2024] [Indexed: 08/06/2024] Open
Abstract
The ABC Consortium has been generating nucleic-acids MD trajectories for more than 20 years. This brief comment highlights the importance of this data for the field, which triggered a number of critical studies, including force-field parameterization and development of new coarse-grained and mesoscopic models. With the world entering into a new data-driven era led by artificial intelligence, where data is becoming more essential than ever, the ABC initiative is leading the way for nucleic acid flexibility.
Collapse
Affiliation(s)
- Adam Hospital
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac 10-12, 08028 Barcelona, Spain
| | - Modesto Orozco
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac 10-12, 08028 Barcelona, Spain
- Department of Biochemistry and Biomedicine, University of Barcelona, 08028 Barcelona, Spain
| |
Collapse
|
5
|
Tiemann JKS, Szczuka M, Bouarroudj L, Oussaren M, Garcia S, Howard RJ, Delemotte L, Lindahl E, Baaden M, Lindorff-Larsen K, Chavent M, Poulain P. MDverse: Shedding Light on the Dark Matter of Molecular Dynamics Simulations. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.05.02.538537. [PMID: 37205542 PMCID: PMC10187166 DOI: 10.1101/2023.05.02.538537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
The rise of open science and the absence of a global dedicated data repository for molecular dynamics (MD) simulations has led to the accumulation of MD files in generalist data repositories, constituting the dark matter of MD - data that is technically accessible, but neither indexed, curated, or easily searchable. Leveraging an original search strategy, we found and indexed about 250,000 files and 2,000 datasets from Zenodo, Figshare and Open Science Framework. With a focus on files produced by the Gromacs MD software, we illustrate the potential offered by the mining of publicly available MD data. We identified systems with specific molecular composition and were able to characterize essential parameters of MD simulation such as temperature and simulation length, and could identify model resolution, such as all-atom and coarse-grain. Based on this analysis, we inferred metadata to propose a search engine prototype to explore the MD data. To continue in this direction, we call on the community to pursue the effort of sharing MD data, and to report and standardize metadata to reuse this valuable matter.
Collapse
|
6
|
Belghit H, Spivak M, Dauchez M, Baaden M, Jonquet-Prevoteau J. From complex data to clear insights: visualizing molecular dynamics trajectories. FRONTIERS IN BIOINFORMATICS 2024; 4:1356659. [PMID: 38665177 PMCID: PMC11043564 DOI: 10.3389/fbinf.2024.1356659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 03/14/2024] [Indexed: 04/28/2024] Open
Abstract
Advances in simulations, combined with technological developments in high-performance computing, have made it possible to produce a physically accurate dynamic representation of complex biological systems involving millions to billions of atoms over increasingly long simulation times. The analysis of these computed simulations is crucial, involving the interpretation of structural and dynamic data to gain insights into the underlying biological processes. However, this analysis becomes increasingly challenging due to the complexity of the generated systems with a large number of individual runs, ranging from hundreds to thousands of trajectories. This massive increase in raw simulation data creates additional processing and visualization challenges. Effective visualization techniques play a vital role in facilitating the analysis and interpretation of molecular dynamics simulations. In this paper, we focus mainly on the techniques and tools that can be used for visualization of molecular dynamics simulations, among which we highlight the few approaches used specifically for this purpose, discussing their advantages and limitations, and addressing the future challenges of molecular dynamics visualization.
Collapse
Affiliation(s)
- Hayet Belghit
- Université de Reims Champagne-Ardenne, CNRS, MEDYC, Reims, France
| | - Mariano Spivak
- Université Paris Cité, CNRS, Laboratoire de Biochimie Théorique, Paris, France
| | - Manuel Dauchez
- Université de Reims Champagne-Ardenne, CNRS, MEDYC, Reims, France
| | - Marc Baaden
- Université Paris Cité, CNRS, Laboratoire de Biochimie Théorique, Paris, France
| | | |
Collapse
|
7
|
Caparotta M, Perez A. Advancing Molecular Dynamics: Toward Standardization, Integration, and Data Accessibility in Structural Biology. J Phys Chem B 2024; 128:2219-2227. [PMID: 38418288 DOI: 10.1021/acs.jpcb.3c04823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/01/2024]
Abstract
Molecular dynamics (MD) simulations have become a valuable tool in structural biology, offering insights into complex biological systems that are difficult to obtain through experimental techniques alone. The lack of available data sets and structures in most published computational work has limited other researchers' use of these models. In recent years, the emergence of online sharing platforms and MD database initiatives favor the deposition of ensembles and structures to accompany publications, favoring reuse of the data sets. However, the lack of uniform metadata collection, formats, and what data are deposited limits the impact and its use by different communities that are not necessarily experts in MD. This Perspective highlights the need for standardization and better resource sharing for processing and interpreting MD simulation results, akin to efforts in other areas of structural biology. As the field moves forward, we will see an increase in popularity and benefits of MD-based integrative approaches combining experimental data and simulations through probabilistic reasoning, but these too are limited by uniformity in experimental data availability and choices on how the data are modeled that are not trivial to decipher from papers. Other fields have addressed similar challenges comprehensively by establishing task forces with different degrees of success. The large scope and number of communities to represent the breadth of types of MD simulations complicates a parallel approach that would fit all. Thus, each group typically decides what data and which format to upload on servers like Zenodo. Uploading data with FAIR (findable, accessible, interoperable, reusable) principles in mind including optimal metadata collection will make the data more accessible and actionable by the community. Such a wealth of simulation data will foster method development and infrastructure advancements, thus propelling the field forward.
Collapse
Affiliation(s)
- Marcelo Caparotta
- Department of Chemistry and Quantum Theory Project, University of Florida, Gainesville, Florida 32611, United States
| | - Alberto Perez
- Department of Chemistry and Quantum Theory Project, University of Florida, Gainesville, Florida 32611, United States
| |
Collapse
|
8
|
Beltrán D, Hospital A, Gelpí JL, Orozco M. A new paradigm for molecular dynamics databases: the COVID-19 database, the legacy of a titanic community effort. Nucleic Acids Res 2024; 52:D393-D403. [PMID: 37953362 PMCID: PMC10767965 DOI: 10.1093/nar/gkad991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 10/16/2023] [Accepted: 10/17/2023] [Indexed: 11/14/2023] Open
Abstract
Molecular dynamics (MD) simulations are keeping computers busy around the world, generating a huge amount of data that is typically not open to the scientific community. Pioneering efforts to ensure the safety and reusability of MD data have been based on the use of simple databases providing a limited set of standard analyses on single-short trajectories. Despite their value, these databases do not offer a true solution for the current community of MD users, who want a flexible analysis pipeline and the possibility to address huge non-Markovian ensembles of large systems. Here we present a new paradigm for MD databases, resilient to large systems and long trajectories, and designed to be compatible with modern MD simulations. The data are offered to the community through a web-based graphical user interface (GUI), implemented with state-of-the-art technology, which incorporates system-specific analysis designed by the trajectory providers. A REST API and associated Jupyter Notebooks are integrated into the platform, allowing fully customized meta-analysis by final users. The new technology is illustrated using a collection of trajectories obtained by the community in the context of the effort to fight the COVID-19 pandemic. The server is accessible at https://bioexcel-cv19.bsc.es/#/. It is free and open to all users and there are no login requirements. It is also integrated into the simulations section of the BioExcel-MolSSI COVID-19 Molecular Structure and Therapeutics Hub: https://covid.molssi.org/simulations/ and is part of the MDDB effort (https://mddbr.eu).
Collapse
Affiliation(s)
- Daniel Beltrán
- Institute for Research in Biomedicine (IRB Barcelona). The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Adam Hospital
- Institute for Research in Biomedicine (IRB Barcelona). The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Josep Lluís Gelpí
- Department of Biochemistry and Biomedicine. University of Barcelona, Barcelona, Spain
- Barcelona Supercomputing Center (BSC), Barcelona, Spain
| | - Modesto Orozco
- Institute for Research in Biomedicine (IRB Barcelona). The Barcelona Institute of Science and Technology, Barcelona, Spain
- Department of Biochemistry and Biomedicine. University of Barcelona, Barcelona, Spain
| |
Collapse
|
9
|
Battistini F, Sala A, Hospital A, Orozco M. Sequence-Dependent Properties of the RNA Duplex. J Chem Inf Model 2023; 63:5259-5271. [PMID: 37577978 DOI: 10.1021/acs.jcim.3c00741] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
Sequence-dependent properties of the DNA duplex have been accurately described using extensive molecular dynamics simulations. The RNA duplex meanwhile─which is typically represented as a sequence-averaged rigid rod─does not benefit from having equivalent molecular dynamics simulations. In this paper, we present a massive simulation effort using a set of ABC-optimized duplexes from which we derived tetramer-resolution properties of the RNA duplex and a simple mesoscopic model that can represent elastic properties of long RNA duplexes. Despite the extreme chemical similarity between DNA and RNA, the local and global elastic properties of the duplexes are very different. DNA duplexes show a complex and nonelastic pattern of flexibility, for instance, while RNA duplexes behave as an elastic system whose deformations can be represented by simple harmonic potentials. In RNA duplexes (RNA2), not only are intra- and interbase pair parameters (equilibrium and mechanical) different from those in the equivalent DNA duplex sequences (DNA2) but the correlations between movements also differ. Simple statements on the relative flexibility or stability of both polymers are meaningless and should be substituted by a more detailed description depending on the sequence and the type of deformation considered.
Collapse
Affiliation(s)
- Federica Battistini
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology (BIST), Baldiri Reixac 10, Barcelona 08028, Spain
- Departament de Bioquímica i Biomedicina. Facultat de Biologia, Universitat de Barcelona, Avgda Diagonal 647, Barcelona 08028, Spain
| | - Alba Sala
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology (BIST), Baldiri Reixac 10, Barcelona 08028, Spain
| | - Adam Hospital
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology (BIST), Baldiri Reixac 10, Barcelona 08028, Spain
| | - Modesto Orozco
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology (BIST), Baldiri Reixac 10, Barcelona 08028, Spain
- Departament de Bioquímica i Biomedicina. Facultat de Biologia, Universitat de Barcelona, Avgda Diagonal 647, Barcelona 08028, Spain
| |
Collapse
|
10
|
Aci-Sèche S, Bourg S, Bonnet P, Rebehmed J, de Brevern AG, Diharce J. A perspective on the sharing of docking data. Data Brief 2023; 49:109386. [PMID: 37492229 PMCID: PMC10365938 DOI: 10.1016/j.dib.2023.109386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 05/17/2023] [Accepted: 07/03/2023] [Indexed: 07/27/2023] Open
Abstract
Computational approaches are nowadays largely applied in drug discovery projects. Among these, molecular docking is the most used for hit identification against a drug target protein. However, many scientists in the field shed light on the lack of availability and reproducibility of the data obtained from such studies to the whole community. Consequently, sustaining and developing the efforts toward a large and fully transparent sharing of those data could be beneficial for all researchers in drug discovery. The purpose of this article is first to propose guidelines and recommendations on the appropriate way to conduct virtual screening experiments and second to depict the current state of sharing molecular docking data. In conclusion, we have explored and proposed several prospects to enhance data sharing from docking experiment that could be developed in the foreseeable future.
Collapse
Affiliation(s)
- Samia Aci-Sèche
- Institut de Chimie Organique et Analytique (ICOA), UMR CNRS-Université d'Orléans 7311, Université d'Orléans BP 6759, Orléans Cedex 2, 45067, France
| | - Stéphane Bourg
- Institut de Chimie Organique et Analytique (ICOA), UMR CNRS-Université d'Orléans 7311, Université d'Orléans BP 6759, Orléans Cedex 2, 45067, France
| | - Pascal Bonnet
- Institut de Chimie Organique et Analytique (ICOA), UMR CNRS-Université d'Orléans 7311, Université d'Orléans BP 6759, Orléans Cedex 2, 45067, France
| | - Joseph Rebehmed
- Department of Computer Science and Mathematics, Lebanese, American University, Beirut, Lebanon
| | - Alexandre G. de Brevern
- Université Paris Cité and Université des Antilles and Université de la Réunion, INSERM, Biologie Intégrée du Globule Rouge, UMR_S 1134, DSIMB Bioinformatics team, 75014 Paris, France
| | - Julien Diharce
- Université Paris Cité and Université des Antilles and Université de la Réunion, INSERM, Biologie Intégrée du Globule Rouge, UMR_S 1134, DSIMB Bioinformatics team, 75014 Paris, France
| |
Collapse
|
11
|
Antila HS, Kav B, Miettinen MS, Martinez-Seara H, Jungwirth P, Ollila OHS. Emerging Era of Biomolecular Membrane Simulations: Automated Physically-Justified Force Field Development and Quality-Evaluated Databanks. J Phys Chem B 2022. [DOI: 10.1021/acs.jpcb.2c01954] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Hanne S. Antila
- Department of Biomaterials, Max Planck Institute of Colloids and Interfaces, 14424 Potsdam, Germany
| | - Batuhan Kav
- Institute of Biological Information Processing, Structural Biochemistry (IBI-7), Forschungszentrum
Jülich, Wilhelm-Johnen-Str., 52425 Jülich, Germany
| | - Markus S. Miettinen
- Computational Biology Unit, Department of Informatics, University of Bergen, 5008 Bergen, Norway
- Department of Chemistry, University of Bergen, 5020 Bergen, Norway
| | - Hector Martinez-Seara
- Institute of Organic Chemistry and Biochemistry, Czech Academy of Sciences, Flemingovo nam. 2, 16000 Prague 6, Czech Republic
| | - Pavel Jungwirth
- Institute of Organic Chemistry and Biochemistry, Czech Academy of Sciences, Flemingovo nam. 2, 16000 Prague 6, Czech Republic
| | - O. H. Samuli Ollila
- Institute of Biotechonology, University of Helsinki, Helsinki 00014, Finland
| |
Collapse
|
12
|
Wieczór M, Genna V, Aranda J, Badia RM, Gelpí JL, Gapsys V, de Groot BL, Lindahl E, Municoy M, Hospital A, Orozco M. Pre-exascale HPC approaches for molecular dynamics simulations. Covid-19 research: A use case. WILEY INTERDISCIPLINARY REVIEWS. COMPUTATIONAL MOLECULAR SCIENCE 2022; 13:e1622. [PMID: 35935573 PMCID: PMC9347456 DOI: 10.1002/wcms.1622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 04/25/2022] [Accepted: 04/28/2022] [Indexed: 06/15/2023]
Abstract
Exascale computing has been a dream for ages and is close to becoming a reality that will impact how molecular simulations are being performed, as well as the quantity and quality of the information derived for them. We review how the biomolecular simulations field is anticipating these new architectures, making emphasis on recent work from groups in the BioExcel Center of Excellence for High Performance Computing. We exemplified the power of these simulation strategies with the work done by the HPC simulation community to fight Covid-19 pandemics. This article is categorized under:Data Science > Computer Algorithms and ProgrammingData Science > Databases and Expert SystemsMolecular and Statistical Mechanics > Molecular Dynamics and Monte-Carlo Methods.
Collapse
Affiliation(s)
- Miłosz Wieczór
- Institute for Research in Biomedicine (IRB Barcelona). The Barcelona Institute of Science and TechnologyBarcelonaSpain
- Department of Physical ChemistryGdansk University of TechnologyGdańskPoland
| | - Vito Genna
- Institute for Research in Biomedicine (IRB Barcelona). The Barcelona Institute of Science and TechnologyBarcelonaSpain
| | - Juan Aranda
- Institute for Research in Biomedicine (IRB Barcelona). The Barcelona Institute of Science and TechnologyBarcelonaSpain
| | | | - Josep Lluís Gelpí
- Barcelona Supercomputing CenterBarcelonaSpain
- Department of Biochemistry and BiomedicineUniversity of BarcelonaBarcelonaSpain
| | - Vytautas Gapsys
- Max Planck Institute for Multidisciplinary SciencesComputational Biomolecular Dynamics GroupGoettingenGermany
| | - Bert L. de Groot
- Max Planck Institute for Multidisciplinary SciencesComputational Biomolecular Dynamics GroupGoettingenGermany
| | - Erik Lindahl
- Department of Applied PhysicsSwedish e‐Science Research Center, KTH Royal Institute of TechnologyStockholmSweden
- Department of Biochemistry and Biophysics, Science for Life LaboratoryStockholm UniversityStockholmSweden
| | | | - Adam Hospital
- Institute for Research in Biomedicine (IRB Barcelona). The Barcelona Institute of Science and TechnologyBarcelonaSpain
| | - Modesto Orozco
- Institute for Research in Biomedicine (IRB Barcelona). The Barcelona Institute of Science and TechnologyBarcelonaSpain
- Department of Biochemistry and BiomedicineUniversity of BarcelonaBarcelonaSpain
| |
Collapse
|
13
|
Bayarri G, Andrio P, Hospital A, Orozco M, Gelpí JL. BioExcel Building Blocks Workflows (BioBB-Wfs), an integrated web-based platform for biomolecular simulations. Nucleic Acids Res 2022; 50:W99-W107. [PMID: 35639735 PMCID: PMC9252775 DOI: 10.1093/nar/gkac380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 04/19/2022] [Accepted: 05/02/2022] [Indexed: 11/15/2022] Open
Abstract
We present BioExcel Building Blocks Workflows, a web-based graphical user interface (GUI) offering access to a collection of transversal pre-configured biomolecular simulation workflows assembled with the BioExcel Building Blocks library. Available workflows include Molecular Dynamics setup, protein-ligand docking, trajectory analyses and small molecule parameterization. Workflows can be launched in the platform or downloaded to be run in the users’ own premises. Remote launching of long executions to user's available High-Performance computers is possible, only requiring configuration of the appropriate access credentials. The web-based graphical user interface offers a high level of interactivity, with integration with the NGL viewer to visualize and check 3D structures, MDsrv to visualize trajectories, and Plotly to explore 2D plots. The server requires no login but is recommended to store the users’ projects and manage sensitive information such as remote credentials. Private projects can be made public and shared with colleagues with a simple URL. The tool will help biomolecular simulation users with the most common and repetitive processes by means of a very intuitive and interactive graphical user interface. The server is accessible at https://mmb.irbbarcelona.org/biobb-wfs.
Collapse
Affiliation(s)
- Genís Bayarri
- Institute for Research in Biomedicine (IRB Barcelona). The Barcelona Institute of Science and Technology. Baldiri Reixac 10-12, 08028 Barcelona, Spain
| | - Pau Andrio
- Barcelona Supercomputing Center (BSC), Jordi Girona 29, 08034, Barcelona, Spain
| | - Adam Hospital
- Institute for Research in Biomedicine (IRB Barcelona). The Barcelona Institute of Science and Technology. Baldiri Reixac 10-12, 08028 Barcelona, Spain
| | - Modesto Orozco
- Institute for Research in Biomedicine (IRB Barcelona). The Barcelona Institute of Science and Technology. Baldiri Reixac 10-12, 08028 Barcelona, Spain.,Department of Biochemistry and Molecular Biology, University of Barcelona, 08028 Barcelona, Spain
| | - Josep Lluís Gelpí
- Barcelona Supercomputing Center (BSC), Jordi Girona 29, 08034, Barcelona, Spain.,Department of Biochemistry and Molecular Biology, University of Barcelona, 08028 Barcelona, Spain
| |
Collapse
|
14
|
Battistini F, Dans PD, Terrazas M, Castellazzi CL, Portella G, Labrador M, Villegas N, Brun-Heath I, González C, Orozco M. The Impact of the HydroxyMethylCytosine epigenetic signature on DNA structure and function. PLoS Comput Biol 2021; 17:e1009547. [PMID: 34748533 PMCID: PMC8601608 DOI: 10.1371/journal.pcbi.1009547] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 11/18/2021] [Accepted: 10/10/2021] [Indexed: 12/30/2022] Open
Abstract
We present a comprehensive, experimental and theoretical study of the impact of 5-hydroxymethylation of DNA cytosine. Using molecular dynamics, biophysical experiments and NMR spectroscopy, we found that Ten-Eleven translocation (TET) dioxygenases generate an epigenetic variant with structural and physical properties similar to those of 5-methylcytosine. Experiments and simulations demonstrate that 5-methylcytosine (mC) and 5-hydroxymethylcytosine (hmC) generally lead to stiffer DNA than normal cytosine, with poorer circularization efficiencies and lower ability to form nucleosomes. In particular, we can rule out the hypothesis that hydroxymethylation reverts to unmodified cytosine physical properties, as hmC is even more rigid than mC. Thus, we do not expect dramatic changes in the chromatin structure induced by differences in physical properties between d(mCpG) and d(hmCpG). Conversely, our simulations suggest that methylated-DNA binding domains (MBDs), associated with repression activities, are sensitive to the substitution d(mCpG) ➔ d(hmCpG), while MBD3 which has a dual activation/repression activity is not sensitive to the d(mCpG) d(hmCpG) change. Overall, while gene activity changes due to cytosine methylation are the result of the combination of stiffness-related chromatin reorganization and MBD binding, those associated to 5-hydroxylation of methylcytosine could be explained by a change in the balance of repression/activation pathways related to differential MBD binding. In Eukaryotic cells, DNA epigenetic modifications play an important role in gene expression and regulation, and protein recognition. In this work we investigate the physical implications of cytosine 5-hydroxymethylation on DNA, its structural and flexibility differences with methylated and unmodified cytosine using molecular dynamics, biophysical experiments and NMR spectroscopy. In particular the effect of hydroxyl group on free energy of nucleosome and Methyl binding Protein (MBD) binding, comparing in silico and experimental data to shed light on the effect of the reduced flexibility and the direct protein-DNA recognition.
Collapse
Affiliation(s)
- Federica Battistini
- Institute for Research in Biomedicine (IRB Barcelona). The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Pablo D. Dans
- Institute for Research in Biomedicine (IRB Barcelona). The Barcelona Institute of Science and Technology, Barcelona, Spain
- Department of Biological Sciences, CENUR Litoral Norte, Universidad de la República (UdelaR), Salto, Uruguay
- Functional Genomics Lab., Institut Pasteur of Montevideo, Montevideo, Uruguay
| | - Montserrat Terrazas
- Institute for Research in Biomedicine (IRB Barcelona). The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Chiara L. Castellazzi
- Institute for Research in Biomedicine (IRB Barcelona). The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Guillem Portella
- Institute for Research in Biomedicine (IRB Barcelona). The Barcelona Institute of Science and Technology, Barcelona, Spain
- Chemistry Department, University of Cambridge, Cambridge, United Kingdom
| | - Mireia Labrador
- Institute for Research in Biomedicine (IRB Barcelona). The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Núria Villegas
- Institute for Research in Biomedicine (IRB Barcelona). The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Isabelle Brun-Heath
- Institute for Research in Biomedicine (IRB Barcelona). The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Carlos González
- Instituto Química Física Rocasolano, Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain
| | - Modesto Orozco
- Institute for Research in Biomedicine (IRB Barcelona). The Barcelona Institute of Science and Technology, Barcelona, Spain
- Department of Biochemistry and Molecular Biology, University of Barcelona, Barcelona, Spain
- * E-mail:
| |
Collapse
|
15
|
Antila HS, M. Ferreira T, Ollila OHS, Miettinen MS. Using Open Data to Rapidly Benchmark Biomolecular Simulations: Phospholipid Conformational Dynamics. J Chem Inf Model 2021; 61:938-949. [PMID: 33496579 PMCID: PMC7903423 DOI: 10.1021/acs.jcim.0c01299] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Indexed: 01/08/2023]
Abstract
Molecular dynamics (MD) simulations are widely used to monitor time-resolved motions of biomacromolecules, although it often remains unknown how closely the conformational dynamics correspond to those occurring in real life. Here, we used a large set of open-access MD trajectories of phosphatidylcholine (PC) lipid bilayers to benchmark the conformational dynamics in several contemporary MD models (force fields) against nuclear magnetic resonance (NMR) data available in the literature: effective correlation times and spin-lattice relaxation rates. We found none of the tested MD models to fully reproduce the conformational dynamics. That said, the dynamics in CHARMM36 and Slipids are more realistic than in the Amber Lipid14, OPLS-based MacRog, and GROMOS-based Berger force fields, whose sampling of the glycerol backbone conformations is too slow. The performance of CHARMM36 persists when cholesterol is added to the bilayer, and when the hydration level is reduced. However, for conformational dynamics of the PC headgroup, both with and without cholesterol, Slipids provides the most realistic description because CHARMM36 overestimates the relative weight of ∼1 ns processes in the headgroup dynamics. We stress that not a single new simulation was run for the present work. This demonstrates the worth of open-access MD trajectory databanks for the indispensable step of any serious MD study: benchmarking the available force fields. We believe this proof of principle will inspire other novel applications of MD trajectory databanks and thus aid in developing biomolecular MD simulations into a true computational microscope-not only for lipid membranes but for all biomacromolecular systems.
Collapse
Affiliation(s)
- Hanne S. Antila
- Department
of Theory and Bio-Systems, Max Planck Institute
of Colloids and Interfaces, 14424 Potsdam, Germany
| | - Tiago M. Ferreira
- NMR
Group−Institute for Physics, Martin-Luther
University Halle-Wittenberg, 06120 Halle (Saale), Germany
| | | | - Markus S. Miettinen
- Department
of Theory and Bio-Systems, Max Planck Institute
of Colloids and Interfaces, 14424 Potsdam, Germany
| |
Collapse
|
16
|
Zivanovic S, Bayarri G, Colizzi F, Moreno D, Gelpí JL, Soliva R, Hospital A, Orozco M. Bioactive Conformational Ensemble Server and Database. A Public Framework to Speed Up In Silico Drug Discovery. J Chem Theory Comput 2020; 16:6586-6597. [PMID: 32786900 DOI: 10.1021/acs.jctc.0c00305] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Modern high-throughput structure-based drug discovery algorithms consider ligand flexibility, but typically with low accuracy, which results in a loss of performance in the derived models. Here we present the bioactive conformational ensemble (BCE) server and its associated database. The server creates conformational ensembles of drug-like ligands and stores them in the BCE database, where a variety of analyses are offered to the user. The workflow implemented in the BCE server combines enhanced sampling molecular dynamics with self-consistent reaction field quantum mechanics (SCRF/QM) calculations. The server automatizes all of the steps to transform one-dimensional (1D) or 2D representation of drugs into 3D molecules, which are then titrated, parametrized, hydrated, and optimized before being subjected to Hamiltonian replica-exchange (HREX) molecular dynamics simulations. Ensembles are collected and subjected to a clustering procedure to derive representative conformers, which are then analyzed at the SCRF/QM level of theory. All structural data are organized in a noSQL database accessible through a graphical interface and in a programmatic manner through a REST API. The server allows the user to define a private workspace and offers a deposition protocol as well as input files for "in house" calculations in those cases where confidentiality is a must. The database and the associated server are available at https://mmb.irbbarcelona.org/BCE.
Collapse
Affiliation(s)
- Sanja Zivanovic
- Institute for Research in Biomedicine (IRB Barcelona). The Barcelona Institute of Science and Technology (BIST). Barcelona 08028, Spain
| | - Genís Bayarri
- Institute for Research in Biomedicine (IRB Barcelona). The Barcelona Institute of Science and Technology (BIST). Barcelona 08028, Spain
| | - Francesco Colizzi
- Institute for Research in Biomedicine (IRB Barcelona). The Barcelona Institute of Science and Technology (BIST). Barcelona 08028, Spain
| | - David Moreno
- Institute for Research in Biomedicine (IRB Barcelona). The Barcelona Institute of Science and Technology (BIST). Barcelona 08028, Spain
| | - Josep Lluís Gelpí
- Barcelona Supercomputing Center (BSC), Barcelona 08034, Spain.,Departament de Bioquímica i Biomedicina, Facultat de Biologia. Universitat de Barcelona, Barcelona E08028, Spain
| | - Robert Soliva
- Nostrum Biodiscovery, Nexus II Building, Barcelona 08034, Spain
| | - Adam Hospital
- Institute for Research in Biomedicine (IRB Barcelona). The Barcelona Institute of Science and Technology (BIST). Barcelona 08028, Spain
| | - Modesto Orozco
- Institute for Research in Biomedicine (IRB Barcelona). The Barcelona Institute of Science and Technology (BIST). Barcelona 08028, Spain.,Departament de Bioquímica i Biomedicina, Facultat de Biologia. Universitat de Barcelona, Barcelona E08028, Spain
| |
Collapse
|
17
|
Zivanovic S, Colizzi F, Moreno D, Hospital A, Soliva R, Orozco M. Exploring the Conformational Landscape of Bioactive Small Molecules. J Chem Theory Comput 2020; 16:6575-6585. [DOI: 10.1021/acs.jctc.0c00304] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Sanja Zivanovic
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology (BIST), Baldiri Reixac, 10, 08028 Barcelona, Spain
| | - Francesco Colizzi
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology (BIST), Baldiri Reixac, 10, 08028 Barcelona, Spain
| | - David Moreno
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology (BIST), Baldiri Reixac, 10, 08028 Barcelona, Spain
| | - Adam Hospital
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology (BIST), Baldiri Reixac, 10, 08028 Barcelona, Spain
| | - Robert Soliva
- Nostrum Biodiscovery, Nexus II Building, 08034 Barcelona, Spain
| | - Modesto Orozco
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology (BIST), Baldiri Reixac, 10, 08028 Barcelona, Spain
- Departament de Bioquímica i Biomedicina, Facultat de Biologia, Universitat de Barcelona, E08028 Barcelona, Spain
| |
Collapse
|