参考1: Rosetta FlexPepDockab-initio: Simultaneous Folding, Docking and Refinement of Peptides onto Their Receptors 参考2: High-resolution global peptide-protein docking using fragments-basedPIPERFlexPepDock 参考3:https://www.rosettacommons.org/docs/latest/application_documentation/docking/flex-pep-dock ...
近年来,RosettaDock也发展出了针对特殊蛋白家族提供的算法如针对抗体-抗原对接的SnugDock、同源多聚体组装对接的SymmetricDock、多肽-蛋白对接的FlexPepDock、以及最新的Motif Score打分函数等等。本文将简要的介绍常规的RosettaDock4.0 蛋白-蛋白复合物对接预测的基本框架和用法。 二、基本原理和算法RosettaDock4.0的基本算...
RosettaPeptide-protein docking is challenging due to the considerable conformational freedom of the peptide. CAPRI rounds 38-45 included two peptide-protein interactions, both characterized by a peptide forming an additional beta strand of a beta sheet in the receptor. Using the Rosetta FlexPepDock ...
RosettaPeptide﹑rotein docking is challenging due to the considerable conformational freedom of the peptide. CAPRI Rounds 38 included two peptide﹑rotein interactions, both characterized by a peptide forming an additional beta strand of a beta sheet in the receptor. Using the Rosetta FlexPepDock ...
近年来,RosettaDock也发展出了针对特殊蛋白家族提供的算法如针对抗体-抗原对接的SnugDock、同源多聚体组装对接的SymmetricDock、以及多肽-蛋白对接的FlexPepDock、以及为高难度对接任务开发的Motif Score的RosettaDock4.0等等。 本文将简要的介绍常规的RosettaDock3.2蛋白-蛋白对接的基本框架和用法。
rosetta dock是做蛋白-蛋白对接的~rosetta 3.4里有单独的rosettaligand, 这个模块才是做蛋白-小分子对接的啊~你的7个aa的配体貌似是个多肽,好像Rosetta里还有个flexpep的对接模块,那个才是最适合你的吧~ jamesxue 2楼: Originally posted by zh1987hs at 2013-01-07 08:06:25 rosetta dock是做蛋白-蛋白对接的...
Rosetta FlexPepDock ab-initio: simultaneous folding, docking and refinement of peptides onto their receptors. PLoS One 6, e18934 (2011). CAS PubMed PubMed Central Google Scholar Sedan, Y., Marcu, O., Lyskov, S. & Schueler-Furman, O. Peptiderive server: derive peptide inhibitors from ...
CASPubMedPubMed CentralGoogle Scholar Alam, N. et al. High-resolution global peptide-protein docking using fragments-based PIPER-FlexPepDock.
蛋白质-核糖核酸(RNA)和蛋白质-脱氧核糖核酸(DNA)复合体在生物学中扮演着至关重要的角色。尽管近年来在蛋白质结构预测方面取得了显著进展,但预测没有同源已知复合体的蛋白质-核酸复合体的结构仍是一个基本未解决的问题。在这里,作者将RoseTTAFold机器学习蛋白结构预测方法扩展应用,以预测核酸和蛋白质-核酸复合体。
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