@article {2022|2156, title = {Building Biological Relevance Into Integrative Modelling of Macromolecular Assemblies}, journal = {Frontiers in Molecular Biosciences}, volume = {9}, year = {2022}, pages = {826136}, abstract = {

Recent advances in structural biophysics and integrative modelling methods now allow us to decipher the structures of large macromolecular assemblies. Understanding the dynamics and mechanisms involved in their biological function requires rigorous integration of all available data. We have developed a complete modelling pipeline that includes analyses to extract biologically significant information by consistently combining automated and interactive human-guided steps. We illustrate this idea with two examples. First, we describe the ryanodine receptor, an ion channel that controls ion flux across the cell membrane through transitions between open and closed states. The conformational changes associated with the transitions are small compared to the considerable system size of the receptor; it is challenging to consistently track these states with the available cryo-EM structures. The second example involves homologous recombination, in which long filaments of a recombinase protein and DNA catalyse the exchange of homologous DNA strands to reliably repair DNA double-strand breaks. The nucleoprotein filament reaction intermediates in this process are short-lived and heterogeneous, making their structures particularly elusive. The pipeline we describe, which incorporates experimental and theoretical knowledge combined with state-of-the-art interactive and immersive modelling tools, can help overcome these challenges. In both examples, we point to new insights into biological processes that arise from such interdisciplinary approaches.

}, issn = {2296-889X}, doi = {10.3389/fmolb.2022.826136}, url = {https://www.frontiersin.org/article/10.3389/fmolb.2022.826136}, author = {Molza, Anne-Elisabeth and Westermaier, Yvonne and Moutte, Magali and Ducrot, Pierre and Danilowicz, Claudia and Godoy-Carter, Veronica and Prentiss, Mara and Robert, Charles H. and Marc Baaden and Pr{\'e}vost, Chantal} } @article {2020|2077, title = {Visualizing biomolecular electrostatics in virtual reality with UnityMol-APBS.}, journal = {Protein Sci}, volume = {29}, year = {2020}, month = {2020 Jan}, pages = {237-246}, abstract = {

Virtual reality is a powerful tool with the ability to immerse a user within a completely external environment. This immersion is particularly useful when visualizing and analyzing interactions between small organic molecules, molecular inorganic complexes, and biomolecular systems such as redox proteins and enzymes. A common tool used in the biomedical community to analyze such interactions is the Adaptive Poisson-Boltzmann Solver (APBS) software, which was developed to solve the equations of continuum electrostatics for large biomolecular assemblages. Numerous applications exist for using APBS in the biomedical community including analysis of protein ligand interactions and APBS has enjoyed widespread adoption throughout the biomedical community. Currently, typical use of the full APBS toolset is completed via the command line followed by visualization using a variety of two-dimensional external molecular visualization software. This process has inherent limitations: visualization of three-dimensional objects using a two-dimensional interface masks important information within the depth component. Herein, we have developed a single application, UnityMol-APBS, that provides a dual experience where users can utilize the full range of the APBS toolset, without the use of a command line interface, by use of a simple graphical user interface (GUI) for either a standard desktop or immersive virtual reality experience.

}, issn = {1469-896X}, doi = {10.1002/pro.3773}, author = {Laureanti, Joseph and Brandi, Juan and Offor, Elvis and Engel, David and Rallo, Robert and Ginovska, Bojana and Martinez, Xavier and Marc Baaden and Baker, Nathan A} } @article {2019|2079, title = {Molecular Graphics: Bridging Structural Biologists and Computer Scientists.}, journal = {Structure}, volume = {27}, year = {2019}, month = {2019 11 05}, pages = {1617-1623}, abstract = {

Visualization of molecular structures is one of the most common tasks carried out by structural biologists, typically using software, such as Chimera, COOT, PyMOL, or VMD. In this Perspective article, we outline how past developments in computer graphics and data visualization have expanded the understanding of biomolecular function, and we summarize recent advances that promise to further transform structural biology. We also highlight how progress in molecular graphics has been impeded by communication barriers between two communities: the computer scientists driving these advances, and the structural and computational biologists who stand to benefit. By pointing to canonical papers and explaining technical progress underlying new graphical developments in simple terms, we aim to improve communication between these communities; this, in turn, would help shape future developments in molecular graphics.

}, issn = {1878-4186}, doi = {10.1016/j.str.2019.09.001}, author = {Martinez, Xavier and Krone, Michael and Alharbi, Naif and Rose, Alexander S and Laramee, Robert S and O{\textquoteright}Donoghue, Sean and Marc Baaden and Chavent, Matthieu} } @inbook {2018|2085, title = {Applications to water transport systems: general discussion.}, booktitle = {Faraday Discuss}, volume = {209}, year = {2018}, month = {2018 09 28}, pages = {389-414}, issn = {1364-5498}, doi = {10.1039/c8fd90022a}, author = {Marc Baaden and Barboiu, Mihail and Borthakur, Manash Pratim and Chen, Chun-Long and Coalson, Rob and Davis, Jeffery and Freger, Viatcheslav and Gong, Bing and H{\'e}lix-Nielsen, Claus and Hickey, Robert and Hinds, Bruce and Hirunpinyopas, Wisit and Horner, Andreas and Hou, Jun-Li and Hummer, Gerhard and Iamprasertkun, Pawin and Kazushi, Kinbara and Kumar, Manish and Legrand, Yves-Marie and Lokesh, Mahesh and Mi, Baoxia and Mitra, Sushanta and Murail, Samuel and Noy, Aleksandr and Nunes, Suzana and Pohl, Peter and Song, Qilei and Song, Woochul and T{\"o}rnroth-Horsefield, Susanna and Vashisth, Harish} } @inbook {2018|2082, title = {Biomimetic water channels: general discussion.}, booktitle = {Faraday Discuss}, volume = {209}, year = {2018}, month = {2018 09 28}, pages = {205-229}, issn = {1364-5498}, doi = {10.1039/c8fd90020e}, author = {Marc Baaden and Barboiu, Mihail and Bill, Roslyn M and Chen, Chun-Long and Davis, Jeffery and Di Vincenzo, Maria and Freger, Viatcheslav and Fr{\"o}ba, Michael and Gale, Philip A and Gong, Bing and H{\'e}lix-Nielsen, Claus and Hickey, Robert and Hinds, Bruce and Hou, Jun-Li and Hummer, Gerhard and Kumar, Manish and Legrand, Yves-Marie and Lokesh, Mahesh and Mi, Baoxia and Murail, Samuel and Pohl, Peter and Sansom, Mark and Song, Qilei and Song, Woochul and T{\"o}rnroth-Horsefield, Susanna and Vashisth, Harish and V{\"o}gele, Martin} } @conference {2017|2101, title = {Molecular Visualization of Computational Biology Data: A Survey of Surveys}, booktitle = {EuroVis 2017 - Short Papers}, year = {2017}, publisher = {The Eurographics Association}, organization = {The Eurographics Association}, isbn = {978-3-03868-043-7}, doi = {10.2312/eurovisshort.20171146}, author = {Alharbi, Naif and Alharbi, Mohammad and Martinez, Xavier and Krone, Michael and Rose, Alexander S. and Marc Baaden and Laramee, Robert S. and Chavent, Matthieu}, editor = {Barbora Kozlikova and Tobias Schreck and Thomas Wischgoll} } @article {2014|1412, title = {{E}xa{V}iz: a flexible framework to analyse, steer and interact with molecular dynamics simulations}, journal = {Faraday Discuss.}, volume = {169}, year = {2014}, note = {[DOI:\href{http://dx.doi.org/10.1039/c3fd00142c}{10.1039/c3fd00142c}] [PubMed:\href{http://www.ncbi.nlm.nih.gov/pubmed/25340956}{25340956}]}, pages = {119{\textendash}142}, author = {Dreher, M and Prevoteau-Jonquet, J and Trellet, M and Piuzzi, M and Marc Baaden and Raffin, B and Nicolas F{\'e}rey and Robert, S and Limet, S.} } @article {2013|1531, title = {Interactive Molecular Dynamics: Scaling up to Large Systems.}, journal = {Procedia Comput. Sci.}, volume = {18}, year = {2013}, pages = {20{\textendash}29}, doi = {10.1016/j.procs.2013.05.165}, author = {M. Dreher and M. Piuzzi and A. Turki and Matthieu Chavent and Marc Baaden and Nicolas F{\'e}rey and S. Limet and B. Raffin and S. Robert} } @article {2011|1437, title = {GPU-accelerated atom and dynamic bond visualization using HyperBalls: a unified algorithm for balls, sticks and hyperboloids}, journal = {J. Comput. Chem.}, volume = {32}, number = {13}, year = {2011}, month = {oct}, pages = {2924{\textendash}2935}, doi = {10.1002/jcc.21861/abstract}, author = {Matthieu Chavent and A. Vanel and A. Tek and B. L{\'e}vy and S. Robert and B. Raffin and Marc Baaden} }