Literature DB >> 28968724

Meta-server for automatic analysis, scoring and ranking of docking models.

Anastasia A Anashkina1, Yuri Kravatsky1, Eugene Kuznetsov2, Alexander A Makarov1, Alexei A Adzhubei1.   

Abstract

MOTIVATION: Modelling with multiple servers that use different algorithms for docking results in more reliable predictions of interaction sites. However, the scoring and comparison of all models by an expert is time-consuming and is not feasible for large volumes of data generated by such modelling.
RESULTS: Quality ASsessment of DOcking Models (QASDOM) Server is a simple and efficient tool for real-time simultaneous analysis, scoring and ranking of data sets of receptor-ligand complexes built by a range of docking techniques. This meta-server is designed to analyse large data sets of docking models and rank them by scoring criteria developed in this study. It produces two types of output showing the likelihood of specific residues and clusters of residues to be involved in receptor-ligand interactions and the ranking of models. The server also allows visualizing residues that form interaction sites in the receptor and ligand sequence and displays 3D model structures of the receptor-ligand complexes. AVAILABILITY: http://qasdom.eimb.ru. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
© The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Year:  2018        PMID: 28968724     DOI: 10.1093/bioinformatics/btx591

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  7 in total

1.  Modelling interaction between HIV-1 Nef and calnexin.

Authors:  Alexei A Adzhubei; Anastasia A Anashkina; Yaroslav V Tkachev; Yury V Kravatsky; Tatiana Pushkarsky; Amol Kulkarni; Alexander A Makarov; Michael I Bukrinsky
Journal:  AIDS       Date:  2018-09-24       Impact factor: 4.177

2.  Isomerization of Asp7 in Beta-Amyloid Enhances Inhibition of the α7 Nicotinic Receptor and Promotes Neurotoxicity.

Authors:  Evgeny P Barykin; Alexandra I Garifulina; Elena V Kruykova; Ekaterina N Spirova; Anastasia A Anashkina; Alexei A Adzhubei; Irina V Shelukhina; Igor E Kasheverov; Vladimir A Mitkevich; Sergey A Kozin; Michael Hollmann; Victor I Tsetlin; Alexander A Makarov
Journal:  Cells       Date:  2019-07-25       Impact factor: 6.600

3.  Interaction Interface of Aβ42 with Human Na,K-ATPase Studied by MD and ITC and Inhibitor Screening by MD.

Authors:  Alexei A Adzhubei; Anna P Tolstova; Maria A Strelkova; Vladimir A Mitkevich; Irina Yu Petrushanko; Alexander A Makarov
Journal:  Biomedicines       Date:  2022-07-11

4.  Na,K-ATPase Acts as a Beta-Amyloid Receptor Triggering Src Kinase Activation.

Authors:  Irina Yu Petrushanko; Artem M Tverskoi; Evgeny P Barykin; Aleksandra V Petrovskaya; Maria A Strelkova; Olga G Leonova; Anastasia A Anashkina; Anna P Tolstova; Alexei A Adzhubei; Anna Yu Bogdanova; Alexander A Makarov; Vladimir A Mitkevich
Journal:  Cells       Date:  2022-09-03       Impact factor: 7.666

5.  Docking and Molecular Dynamics-Based Identification of Interaction between Various Beta-Amyloid Isoforms and RAGE Receptor.

Authors:  Anna P Tolstova; Alexei A Adzhubei; Vladimir A Mitkevich; Irina Yu Petrushanko; Alexander A Makarov
Journal:  Int J Mol Sci       Date:  2022-10-05       Impact factor: 6.208

Review 6.  Bioinformatics Tools and Benchmarks for Computational Docking and 3D Structure Prediction of RNA-Protein Complexes.

Authors:  Chandran Nithin; Pritha Ghosh; Janusz M Bujnicki
Journal:  Genes (Basel)       Date:  2018-08-25       Impact factor: 4.096

7.  Tetrapeptide Ac-HAEE-NH2 Protects α4β2 nAChR from Inhibition by Aβ.

Authors:  Evgeny P Barykin; Aleksandra I Garifulina; Anna P Tolstova; Anastasia A Anashkina; Alexei A Adzhubei; Yuri V Mezentsev; Irina V Shelukhina; Sergey A Kozin; Victor I Tsetlin; Alexander A Makarov
Journal:  Int J Mol Sci       Date:  2020-08-29       Impact factor: 5.923

  7 in total

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