Literature DB >> 31114897

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

Jan Stourac1,2, Ondrej Vavra1,2, Piia Kokkonen1, Jiri Filipovic3, Gaspar Pinto1,2, Jan Brezovsky1, Jiri Damborsky1,2, David Bednar1,2.   

Abstract

Caver Web 1.0 is a web server for comprehensive analysis of protein tunnels and channels, and study of the ligands' transport through these transport pathways. Caver Web is the first interactive tool allowing both the analyses within a single graphical user interface. The server is built on top of the abundantly used tunnel detection tool Caver 3.02 and CaverDock 1.0 enabling the study of the ligand transport. The program is easy-to-use as the only required inputs are a protein structure for a tunnel identification and a list of ligands for the transport analysis. The automated guidance procedures assist the users to set up the calculation in a way to obtain biologically relevant results. The identified tunnels, their properties, energy profiles and trajectories for ligands' passages can be calculated and visualized. The tool is very fast (2-20 min per job) and is applicable even for virtual screening purposes. Its simple setup and comprehensive graphical user interface make the tool accessible for a broad scientific community. The server is freely available at https://loschmidt.chemi.muni.cz/caverweb.
© The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research.

Entities:  

Year:  2019        PMID: 31114897      PMCID: PMC6602463          DOI: 10.1093/nar/gkz378

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  51 in total

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  26 in total

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5.  Thermodynamic Integration in 3n Dimensions without Biases or Alchemy for Protein Interactions.

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6.  Sequence Analysis and Structure Prediction of SARS-CoV-2 Accessory Proteins 9b and ORF14: Evolutionary Analysis Indicates Close Relatedness to Bat Coronavirus.

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7.  Functional Annotation of ABHD14B, an Orphan Serine Hydrolase Enzyme.

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8.  Structures of Neisseria gonorrhoeae MtrR-operator complexes reveal molecular mechanisms of DNA recognition and antibiotic resistance-conferring clinical mutations.

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

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