Literature DB >> 30932844

CaverDock: A Novel Method for the Fast Analysis of Ligand Transport.

Jiri Filipovic, Ondrej Vavra, Jan Plhak, David Bednar, Sergio M Marques, Jan Brezovsky, Ludek Matyska, Jiri Damborsky.   

Abstract

Here we present a novel method for the analysis of transport processes in proteins and its implementation called CaverDock. Our method is based on a modified molecular docking algorithm. It iteratively places the ligand along the access tunnel in such a way that the ligand movement is contiguous and the energy is minimized. The result of CaverDock calculation is a ligand trajectory and an energy profile of transport process. CaverDock uses the modified docking program Autodock Vina for molecular docking and implements a parallel heuristic algorithm for searching the space of possible trajectories. Our method lies in between the geometrical approaches and molecular dynamics simulations. Contrary to the geometrical methods, it provides an evaluation of chemical forces. However, it is far less computationally demanding and easier to set up compared to molecular dynamics simulations. CaverDock will find a broad use in the fields of computational enzymology, drug design, and protein engineering. The software is available free of charge to the academic users at https://loschmidt.chemi.muni.cz/caverdock/.

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Year:  2019        PMID: 30932844     DOI: 10.1109/TCBB.2019.2907492

Source DB:  PubMed          Journal:  IEEE/ACM Trans Comput Biol Bioinform        ISSN: 1545-5963            Impact factor:   3.710


  6 in total

1.  Caver Web 1.0: identification of tunnels and channels in proteins and analysis of ligand transport.

Authors:  Jan Stourac; Ondrej Vavra; Piia Kokkonen; Jiri Filipovic; Gaspar Pinto; Jan Brezovsky; Jiri Damborsky; David Bednar
Journal:  Nucleic Acids Res       Date:  2019-07-02       Impact factor: 16.971

2.  Stereoselective Activity of 1-Propargyl-4-styrylpiperidine-like Analogues That Can Discriminate between Monoamine Oxidase Isoforms A and B.

Authors:  Damijan Knez; Natalia Colettis; Luca G Iacovino; Matej Sova; Anja Pišlar; Janez Konc; Samo Lešnik; Josefina Higgs; Fabiola Kamecki; Irene Mangialavori; Ana Dolšak; Simon Žakelj; Jurij Trontelj; Janko Kos; Claudia Binda; Mariel Marder; Stanislav Gobec
Journal:  J Med Chem       Date:  2020-01-22       Impact factor: 7.446

3.  Evaluation of lipase access tunnels and analysis of substance transport in comparison with experimental data.

Authors:  Jéssica Jéssi C de Melo; Jesica Ribeiro Gonçalves; Luma M de S Brandão; Ranyere L Souza; Matheus M Pereira; Álvaro S Lima; Cleide M F Soares
Journal:  Bioprocess Biosyst Eng       Date:  2022-05-18       Impact factor: 3.210

4.  Screening of world approved drugs against highly dynamical spike glycoprotein of SARS-CoV-2 using CaverDock and machine learning.

Authors:  Gaspar P Pinto; Ondrej Vavra; Sergio M Marques; Jiri Filipovic; David Bednar; Jiri Damborsky
Journal:  Comput Struct Biotechnol J       Date:  2021-05-26       Impact factor: 7.271

5.  Fast Screening of Inhibitor Binding/Unbinding Using Novel Software Tool CaverDock.

Authors:  Gaspar P Pinto; Ondrej Vavra; Jiri Filipovic; Jan Stourac; David Bednar; Jiri Damborsky
Journal:  Front Chem       Date:  2019-10-29       Impact factor: 5.221

Review 6.  Dynamics, a Powerful Component of Current and Future in Silico Approaches for Protein Design and Engineering.

Authors:  Bartłomiej Surpeta; Carlos Eduardo Sequeiros-Borja; Jan Brezovsky
Journal:  Int J Mol Sci       Date:  2020-04-14       Impact factor: 5.923

  6 in total

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