Literature DB >> 20546918

Current trends in antimicrobial agent research: chemo- and bioinformatics approaches.

Riadh Hammami1, Ismail Fliss.   

Abstract

Databases and chemo- and bioinformatics tools that contain genomic, proteomic and functional information have become indispensable for antimicrobial drug research. The combination of chemoinformatics tools, bioinformatics tools and relational databases provides means of analyzing, linking and comparing online search results. The development of computational tools feeds on a diversity of disciplines, including mathematics, statistics, computer science, information technology and molecular biology. The computational approach to antimicrobial agent discovery and design encompasses genomics, molecular simulation and dynamics, molecular docking, structural and/or functional class prediction, and quantitative structure-activity relationships. This article reviews progress in the development of computational methods, tools and databases used for organizing and extracting biological meaning from antimicrobial research. 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20546918     DOI: 10.1016/j.drudis.2010.05.002

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  15 in total

Review 1.  Designing antimicrobial peptides: form follows function.

Authors:  Christopher D Fjell; Jan A Hiss; Robert E W Hancock; Gisbert Schneider
Journal:  Nat Rev Drug Discov       Date:  2011-12-16       Impact factor: 84.694

2.  Genomewide Analysis of the Antimicrobial Peptides in Python bivittatus and Characterization of Cathelicidins with Potent Antimicrobial Activity and Low Cytotoxicity.

Authors:  Dayeong Kim; Nagasundarapandian Soundrarajan; Juyeon Lee; Hye-Sun Cho; Minkyeung Choi; Se-Yeoun Cha; Byeongyong Ahn; Hyoim Jeon; Minh Thong Le; Hyuk Song; Jin-Hoi Kim; Chankyu Park
Journal:  Antimicrob Agents Chemother       Date:  2017-08-24       Impact factor: 5.191

Review 3.  Immunomodulatory and Allergenic Properties of Antimicrobial Peptides.

Authors:  Svetlana V Guryanova; Tatiana V Ovchinnikova
Journal:  Int J Mol Sci       Date:  2022-02-24       Impact factor: 5.923

4.  A combined bioinformatics and chemoinformatics approach for developing asymmetric bivalent AMPA receptor positive allosteric modulators as neuroprotective agents.

Authors:  Haijun Chen; Cheng Z Wang; Chunyong Ding; Christopher Wild; Bryan Copits; Geoffrey T Swanson; Kenneth M Johnson; Jia Zhou
Journal:  ChemMedChem       Date:  2012-12-20       Impact factor: 3.466

5.  LAMP: A Database Linking Antimicrobial Peptides.

Authors:  Xiaowei Zhao; Hongyu Wu; Hairong Lu; Guodong Li; Qingshan Huang
Journal:  PLoS One       Date:  2013-06-18       Impact factor: 3.240

6.  Prediction of antimicrobial peptides based on sequence alignment and feature selection methods.

Authors:  Ping Wang; Lele Hu; Guiyou Liu; Nan Jiang; Xiaoyun Chen; Jianyong Xu; Wen Zheng; Li Li; Ming Tan; Zugen Chen; Hui Song; Yu-Dong Cai; Kuo-Chen Chou
Journal:  PLoS One       Date:  2011-04-13       Impact factor: 3.240

Review 7.  Major prospects for exploring canine vector borne diseases and novel intervention methods using 'omic technologies.

Authors:  Robin B Gasser; Cinzia Cantacessi; Bronwyn E Campbell; Andreas Hofmann; Domenico Otranto
Journal:  Parasit Vectors       Date:  2011-04-13       Impact factor: 3.876

8.  Prediction of antimicrobial peptides based on sequence alignment and support vector machine-pairwise algorithm utilizing LZ-complexity.

Authors:  Xin Yi Ng; Bakhtiar Affendi Rosdi; Shahriza Shahrudin
Journal:  Biomed Res Int       Date:  2015-02-23       Impact factor: 3.411

Review 9.  Class IIa bacteriocins: diversity and new developments.

Authors:  Yanhua Cui; Chao Zhang; Yunfeng Wang; John Shi; Lanwei Zhang; Zhongqing Ding; Xiaojun Qu; Hongyu Cui
Journal:  Int J Mol Sci       Date:  2012-12-06       Impact factor: 5.923

Review 10.  From antimicrobial to anticancer peptides. A review.

Authors:  Diana Gaspar; A Salomé Veiga; Miguel A R B Castanho
Journal:  Front Microbiol       Date:  2013-10-01       Impact factor: 5.640

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