Agyeya's Asadhya Vina

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چکیده

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1001 Ways to run AutoDock Vina for virtual screening

Large-scale computing technologies have enabled high-throughput virtual screening involving thousands to millions of drug candidates. It is not trivial, however, for biochemical scientists to evaluate the technical alternatives and their implications for running such large experiments. Besides experience with the molecular docking tool itself, the scientist needs to learn how to run it on high-...

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CrossDocker: a tool for performing cross-docking using Autodock Vina

BACKGROUND Cross-docking is an approach to find the best holo structures among multiple structures available for a target protein. RESULTS CrossDocker significantly decreases the time needed for setting parameters and inputs for performing multiple dockings, data collection and subsequent analysis. CONCLUSION CrossDocker was written in Python language and is available as executable binary f...

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Virtual Screening for HIV Protease Inhibitors: A Comparison of AutoDock 4 and Vina

BACKGROUND The AutoDock family of software has been widely used in protein-ligand docking research. This study compares AutoDock 4 and AutoDock Vina in the context of virtual screening by using these programs to select compounds active against HIV protease. METHODOLOGY/PRINCIPAL FINDINGS Both programs were used to rank the members of two chemical libraries, each containing experimentally veri...

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MOLA: a bootable, self-configuring system for virtual screening using AutoDock4/Vina on computer clusters

BACKGROUND Virtual screening of small molecules using molecular docking has become an important tool in drug discovery. However, large scale virtual screening is time demanding and usually requires dedicated computer clusters. There are a number of software tools that perform virtual screening using AutoDock4 but they require access to dedicated Linux computer clusters. Also no software is avai...

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AutoDock VinaXB: implementation of XBSF, new empirical halogen bond scoring function, into AutoDock Vina

BACKGROUND Halogen bonding has recently come to play as a target for lead optimization in rational drug design. However, most docking program don't account for halogen bonding in their scoring functions and are not able to utilize this new approach. In this study a new and improved halogen bonding scoring function (XBSF) is presented along with its implementation in the AutoDock Vina molecular ...

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ژورنال

عنوان ژورنال: JOURNAL OF INDIAN AND BUDDHIST STUDIES (INDOGAKU BUKKYOGAKU KENKYU)

سال: 1971

ISSN: 1884-0051,0019-4344

DOI: 10.4259/ibk.19.876