Zobrazeno 1 - 10
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pro vyhledávání: '"PDB, Protein Data Bank"'
Akademický článek
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Autor:
Akiyama, Yutaka
Publikováno v:
Proc. the fifth Int'l Conf. on Intelligent Systems for Molecular Biology (ISMB’97), pp.214-217. :214-217
Autor:
Noguchi T; Parallel Application Laboratory, Tsukuba Research Center, Real World Computing Partnership, Japan. noguchi@trc.rwcp.or.jp, Onizuka K, Akiyama Y, Saito M
Publikováno v:
Proceedings. International Conference on Intelligent Systems for Molecular Biology [Proc Int Conf Intell Syst Mol Biol] 1997; Vol. 5, pp. 214-7.
Publikováno v:
Proceedings. International Conference on Intelligent Systems for Molecular Biology. 5
We propose a novel set of 'representative' protein chains in PDB, where not only sequential but also structural similarities are taken into account. Hobohm et al. have already proposed "PDB_SELECT", which eliminates redundant chains based solely on s
Autor:
Charette, Bradley D., MacDonald, Richard G., Wetzel, Stefan, Berkowitz, David B., Waldmann, Herbert
Publikováno v:
Angewandte Chemie; November 2006, Vol. 118 Issue: 46 p7930-7934, 5p
Conference
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Publikováno v:
Journal of Molecular Graphics and Modelling; 2000, Vol. 18 Issue: 2 p126-134, 9p
Autor:
Muhammad Taimoor Khan, Ayesha Ameen
Publikováno v:
Bioscientific Review, Vol 1, Iss 1 (2019)
This study aims to design and develop a tool that can efficiently generate Molecular Dynamics (MD) simulation input files and systems for various simulation software such as NAMD, Amber and GROMACS collectively using a single platform. Molecular Dyna
Externí odkaz:
https://doaj.org/article/747d275794454879936f10d6cd8263eb
Autor:
Yanfei Cai, Jingyu Zhu, Yun Chen, Jian Jin, Xinling Zhao, Kan Li, Lei Xu, Huazhong Li, Gang Huang
Publikováno v:
Journal of Advanced Research
Journal of Advanced Research, Vol 36, Iss, Pp 1-13 (2022)
Journal of Advanced Research, Vol 36, Iss, Pp 1-13 (2022)
Graphical abstract
Highlights • Virtual screening based on machine learning with multiple proteins was developed. • Discovery of a novel PI3Kγ inhibitor integrating virtual screening and bio-assays. • JN-KI3 selective inhibit PI3Kγ enzym
Highlights • Virtual screening based on machine learning with multiple proteins was developed. • Discovery of a novel PI3Kγ inhibitor integrating virtual screening and bio-assays. • JN-KI3 selective inhibit PI3Kγ enzym
Autor:
Suchetana Gupta, Ditipriya Mallick, Kumarjeet Banerjee, Shrimon Mukherjee, Soumyadev Sarkar, Sonny TM Lee, Partha Basuchowdhuri, Siddhartha S Jana
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 20, Iss, Pp 766-778 (2022)
Computational and Structural Biotechnology Journal
Computational and Structural Biotechnology Journal
Graphical abstract
The clinical manifestation of the recent pandemic COVID-19, caused by the novel SARS-CoV-2 virus, varies from mild to severe respiratory illness. Although environmental, demographic and co-morbidity factors have an impact on t
The clinical manifestation of the recent pandemic COVID-19, caused by the novel SARS-CoV-2 virus, varies from mild to severe respiratory illness. Although environmental, demographic and co-morbidity factors have an impact on t