Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Debswapna Bhattacharya"'
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 8, p e1011435 (2023)
Artificial intelligence-powered protein structure prediction methods have led to a paradigm-shift in computational structural biology, yet contemporary approaches for predicting the interfacial residues (i.e., sites) of protein-protein interaction (P
Externí odkaz:
https://doaj.org/article/2f26b8db66be4a2dbd49dfff5bff0126
Publikováno v:
Frontiers in Molecular Biosciences, Vol 8 (2021)
Sequence-based protein homology detection has emerged as one of the most sensitive and accurate approaches to protein structure prediction. Despite the success, homology detection remains very challenging for weakly homologous proteins with divergent
Externí odkaz:
https://doaj.org/article/37529b8328744d4f9cd07cde1f9c3e89
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 2, p e1008753 (2021)
Crystallography and NMR system (CNS) is currently a widely used method for fragment-free ab initio protein folding from inter-residue distance or contact maps. Despite its widespread use in protein structure prediction, CNS is a decade-old macromolec
Externí odkaz:
https://doaj.org/article/aa9df98531734287a54a8a92dde1b627
Publikováno v:
PLoS ONE, Vol 15, Iss 2, p e0228245 (2020)
Significant advancements in the field of protein structure prediction have necessitated the need for objective and robust evaluation of protein structural models by comparing predicted models against the experimentally determined native structures to
Externí odkaz:
https://doaj.org/article/fcdc00abe1dc46fb9441d5278ff01a31
Publikováno v:
PLoS ONE, Vol 15, Iss 12, p e0243331 (2020)
Recent advances in distance-based protein folding have led to a paradigm shift in protein structure prediction. Through sufficiently precise estimation of the inter-residue distance matrix for a protein sequence, it is now feasible to predict the cor
Externí odkaz:
https://doaj.org/article/04602d33b2b84244bccbb4853f15fa0b
Autor:
Chen Keasar, Liam J. McGuffin, Björn Wallner, Gaurav Chopra, Badri Adhikari, Debswapna Bhattacharya, Lauren Blake, Leandro Oliveira Bortot, Renzhi Cao, B. K. Dhanasekaran, Itzhel Dimas, Rodrigo Antonio Faccioli, Eshel Faraggi, Robert Ganzynkowicz, Sambit Ghosh, Soma Ghosh, Artur Giełdoń, Lukasz Golon, Yi He, Lim Heo, Jie Hou, Main Khan, Firas Khatib, George A. Khoury, Chris Kieslich, David E. Kim, Pawel Krupa, Gyu Rie Lee, Hongbo Li, Jilong Li, Agnieszka Lipska, Adam Liwo, Ali Hassan A. Maghrabi, Milot Mirdita, Shokoufeh Mirzaei, Magdalena A. Mozolewska, Melis Onel, Sergey Ovchinnikov, Anand Shah, Utkarsh Shah, Tomer Sidi, Adam K. Sieradzan, Magdalena Ślusarz, Rafal Ślusarz, James Smadbeck, Phanourios Tamamis, Nicholas Trieber, Tomasz Wirecki, Yanping Yin, Yang Zhang, Jaume Bacardit, Maciej Baranowski, Nicholas Chapman, Seth Cooper, Alexandre Defelicibus, Jeff Flatten, Brian Koepnick, Zoran Popović, Bartlomiej Zaborowski, David Baker, Jianlin Cheng, Cezary Czaplewski, Alexandre Cláudio Botazzo Delbem, Christodoulos Floudas, Andrzej Kloczkowski, Stanislaw Ołdziej, Michael Levitt, Harold Scheraga, Chaok Seok, Johannes Söding, Saraswathi Vishveshwara, Dong Xu, Foldit Players consortium, Silvia N. Crivelli
Publikováno v:
Scientific Reports, Vol 8, Iss 1, Pp 1-18 (2018)
Abstract Every two years groups worldwide participate in the Critical Assessment of Protein Structure Prediction (CASP) experiment to blindly test the strengths and weaknesses of their computational methods. CASP has significantly advanced the field
Externí odkaz:
https://doaj.org/article/b0b847aec1154062a3c86bac14d94e55
Publikováno v:
bioRxiv
Accurate modeling of protein-protein interaction interface is essential for high-quality protein complex structure prediction. Existing approaches for estimating the quality of a predicted protein complex structural model utilize only the physicochem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3ac99a8f7c9fbe7f32529b0be8367e7
https://europepmc.org/articles/PMC9949034/
https://europepmc.org/articles/PMC9949034/
Autor:
Sutanu Bhattacharya, Rahmatullah Roche, Md Hossain Shuvo, Bernard Moussad, Debswapna Bhattacharya
Publikováno v:
Methods in Molecular Biology ISBN: 9781071629734
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d528b1e7a9bca8444aab819c25c4a326
https://doi.org/10.1007/978-1-0716-2974-1_3
https://doi.org/10.1007/978-1-0716-2974-1_3
Artificial intelligence-powered protein structure prediction methods have led to a paradigm-shift in computational structural biology, yet contemporary approaches for predicting the interfacial residues (i.e., sites) of protein-protein interaction (P
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37763aec9203d3af472dbc55aefbba6d
https://doi.org/10.1101/2022.12.14.520476
https://doi.org/10.1101/2022.12.14.520476
Publikováno v:
Nucleic Acids Research
The DeepRefiner webserver, freely available at http://watson.cse.eng.auburn.edu/DeepRefiner/, is an interactive and fully configurable online system for high-accuracy protein structure refinement. Fuelled by deep learning, DeepRefiner offers the abil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c888af3a897c1459c6d33777152704e3
http://europepmc.org/articles/PMC8262753
http://europepmc.org/articles/PMC8262753