Literature DB >> 31436329

AutoGridFR: Improvements on AutoDock Affinity Maps and Associated Software Tools.

Yuqi Zhang1, Stefano Forli1, Anna Omelchenko1, Michel F Sanner1.   

Abstract

Precomputed affinity maps are used by AutoDock to efficiently describe rigid biomolecules called receptors in automated docking. These maps greatly speed up the docking process and allow users to experiment with the forcefield. Here, we present AutoGridFR (AGFR): a software tool facilitating the calculation of these maps. We describe a new version of the AutoSite algorithm that improves the description of binding pockets automatically detected on receptors, and an algorithm for adding affinity gradients which help search methods optimize solution using fewer evaluations of the scoring functions. AGFR supports the calculation of maps for various advanced docking techniques such as covalent docking, hydrated docking, and docking with flexible receptor sidechains. Maps are stored in a single file along with metadata supporting data provenance, reproducibility, and facilitating their management. Finally, maps can be calculated from the command line or through a modern graphical user interface which also supports their visualization.
© 2019 Wiley Periodicals, Inc. © 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  affinity maps; covalent docking; docking; docking with flexible receptor sidechains; provenance

Mesh:

Substances:

Year:  2019        PMID: 31436329     DOI: 10.1002/jcc.26054

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  6 in total

1.  A new class of half-sandwich ruthenium complexes containing Biginelli hybrids: anticancer and anti-SARS-CoV-2 activities.

Authors:  Nenad Janković; Emilija Milović; Jelena Đorović Jovanović; Zoran Marković; Milan Vraneš; Tatjana Stanojković; Ivana Matić; Marija Đorđić Crnogorac; Olivera Klisurić; Miroslav Cvetinov; Syed Nasir Abbas Bukhari
Journal:  Chem Biol Interact       Date:  2022-06-22       Impact factor: 5.168

2.  The AutoDock suite at 30.

Authors:  David S Goodsell; Michel F Sanner; Arthur J Olson; Stefano Forli
Journal:  Protein Sci       Date:  2020-09-12       Impact factor: 6.725

3.  Antimicrobial Peptides from Human Microbiome Against Multidrug Efflux Pump of Pseudomonas aeruginosa: a Computational Study.

Authors:  Viswajit Mulpuru; Nidhi Mishra
Journal:  Probiotics Antimicrob Proteins       Date:  2022-01-17       Impact factor: 4.609

4.  Cyclic Peptides as Protein Kinase Inhibitors: Structure-Activity Relationship and Molecular Modeling.

Authors:  Michel F Sanner; Khalid Zoghebi; Samara Hanna; Saghar Mozaffari; Simin Rahighi; Rakesh K Tiwari; Keykavous Parang
Journal:  J Chem Inf Model       Date:  2021-05-17       Impact factor: 6.162

5.  Benchmarking AlphaFold-enabled molecular docking predictions for antibiotic discovery.

Authors:  Felix Wong; Aarti Krishnan; Erica J Zheng; Hannes Stärk; Abigail L Manson; Ashlee M Earl; Tommi Jaakkola; James J Collins
Journal:  Mol Syst Biol       Date:  2022-09       Impact factor: 13.068

6.  Predicting binding sites from unbound versus bound protein structures.

Authors:  Jordan J Clark; Zachary J Orban; Heather A Carlson
Journal:  Sci Rep       Date:  2020-09-28       Impact factor: 4.379

  6 in total

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