Literature DB >> 29156005

aBiofilm: a resource of anti-biofilm agents and their potential implications in targeting antibiotic drug resistance.

Akanksha Rajput1, Anamika Thakur1, Shivangi Sharma1, Manoj Kumar1.   

Abstract

Biofilms play an important role in the antibiotic drug resistance, which is threatening public health globally. Almost, all microbes mimic multicellular lifestyle to form biofilm by undergoing phenotypic changes to adapt adverse environmental conditions. Many anti-biofilm agents have been experimentally validated to disrupt the biofilms during last three decades. To organize this data, we developed the 'aBiofilm' resource (http://bioinfo.imtech.res.in/manojk/abiofilm/) that harbors a database, a predictor, and the data visualization modules. The database contains biological, chemical, and structural details of 5027 anti-biofilm agents (1720 unique) reported from 1988-2017. These agents target over 140 organisms including Gram-negative, Gram-positive bacteria, and fungus. They are mainly chemicals, peptides, phages, secondary metabolites, antibodies, nanoparticles and extracts. They show the diverse mode of actions by attacking mainly signaling molecules, biofilm matrix, genes, extracellular polymeric substances, and many more. The QSAR based predictor identifies the anti-biofilm potential of an unknown chemical with an accuracy of ∼80.00%. The data visualization section summarized the biofilm stages targeted (Circos plot); interaction maps (Cytoscape) and chemicals diversification (CheS-Mapper) of the agents. This comprehensive platform would help the researchers to understand the multilevel communication in the microbial consortium. It may aid in developing anti-biofilm therapeutics to deal with antibiotic drug resistance menace.
© The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.

Entities:  

Mesh:

Substances:

Year:  2018        PMID: 29156005      PMCID: PMC5753393          DOI: 10.1093/nar/gkx1157

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


  57 in total

Review 1.  Bacterial biofilms: a common cause of persistent infections.

Authors:  J W Costerton; P S Stewart; E P Greenberg
Journal:  Science       Date:  1999-05-21       Impact factor: 47.728

2.  Synthetic organic compounds with potential for bacterial biofilm inhibition, a path for the identification of compounds interfering with quorum sensing.

Authors:  Andréa de Lima Pimenta; Louise Domeneghini Chiaradia-Delatorre; Alessandra Mascarello; Karen Andrinéia de Oliveira; Paulo César Leal; Rosendo Augusto Yunes; Cláudia Beatriz Nedel Mendes de Aguiar; Carla Inês Tasca; Ricado José Nunes; Artur Smânia
Journal:  Int J Antimicrob Agents       Date:  2013-08-12       Impact factor: 5.283

Review 3.  Antibiofilm Peptides: Potential as Broad-Spectrum Agents.

Authors:  Daniel Pletzer; Robert E W Hancock
Journal:  J Bacteriol       Date:  2016-09-09       Impact factor: 3.490

4.  Cryptococcus neoformans cells in biofilms are less susceptible than planktonic cells to antimicrobial molecules produced by the innate immune system.

Authors:  Luis R Martinez; Arturo Casadevall
Journal:  Infect Immun       Date:  2006-11       Impact factor: 3.441

5.  The cep quorum-sensing system of Burkholderia cepacia H111 controls biofilm formation and swarming motility.

Authors:  Birgit Huber; Kathrin Riedel; Morten Hentzer; Arne Heydorn; Astrid Gotschlich; Michael Givskov; Søren Molin; Leo Eberl
Journal:  Microbiology (Reading)       Date:  2001-09       Impact factor: 2.777

6.  Diagnosis of ruptured intracranial dermoid cyst: value MR over CT.

Authors:  A S Smith; J E Benson; S I Blaser; A Mizushima; R W Tarr; E M Bellon
Journal:  AJNR Am J Neuroradiol       Date:  1991 Jan-Feb       Impact factor: 3.825

7.  Novel two-component regulatory system involved in biofilm formation and acid resistance in Streptococcus mutans.

Authors:  Yung-Hua Li; Peter C Y Lau; Nan Tang; Gunnel Svensäter; Richard P Ellen; Dennis G Cvitkovitch
Journal:  J Bacteriol       Date:  2002-11       Impact factor: 3.490

8.  JSME: a free molecule editor in JavaScript.

Authors:  Bruno Bienfait; Peter Ertl
Journal:  J Cheminform       Date:  2013-05-21       Impact factor: 5.514

9.  Computational Exploration of Putative LuxR Solos in Archaea and Their Functional Implications in Quorum Sensing.

Authors:  Akanksha Rajput; Manoj Kumar
Journal:  Front Microbiol       Date:  2017-05-03       Impact factor: 5.640

10.  Attenuation of Pseudomonas aeruginosa biofilm formation by Vitexin: A combinatorial study with azithromycin and gentamicin.

Authors:  Manash C Das; Padmani Sandhu; Priya Gupta; Prasenjit Rudrapaul; Utpal C De; Prosun Tribedi; Yusuf Akhter; Surajit Bhattacharjee
Journal:  Sci Rep       Date:  2016-03-22       Impact factor: 4.379

View more
  22 in total

Review 1.  Design and Assessment of Anti-Biofilm Peptides: Steps Toward Clinical Application.

Authors:  Melanie Dostert; Corrie R Belanger; Robert E W Hancock
Journal:  J Innate Immun       Date:  2018-08-22       Impact factor: 7.349

2.  Analysis of Bacterial Biofilm Formation in Patients with Malignancy Undergoing Double J Stent Indwelling and Its Influencing Factors.

Authors:  Ke Zeng; Jia-Mo Zhang; Xiao-Bin Li; Sheng-Xian Peng; Su-Chuan Zhang; Wen-Xian Xie; Chun-Fang Xi; Cheng-Jian Cao
Journal:  Infect Drug Resist       Date:  2021-12-07       Impact factor: 4.003

3.  Quorum sensing-based interactions among drugs, microbes, and diseases.

Authors:  Shengbo Wu; Shujuan Yang; Manman Wang; Nan Song; Jie Feng; Hao Wu; Aidong Yang; Chunjiang Liu; Yanni Li; Fei Guo; Jianjun Qiao
Journal:  Sci China Life Sci       Date:  2022-08-04       Impact factor: 10.372

4.  Metapath Aggregated Graph Neural Network and Tripartite Heterogeneous Networks for Microbe-Disease Prediction.

Authors:  Yali Chen; Xiujuan Lei
Journal:  Front Microbiol       Date:  2022-05-31       Impact factor: 6.064

5.  Machine Learning Prediction of Antimicrobial Peptides.

Authors:  Guangshun Wang; Iosif I Vaisman; Monique L van Hoek
Journal:  Methods Mol Biol       Date:  2022

Review 6.  Ways to control harmful biofilms: prevention, inhibition, and eradication.

Authors:  Wen Yin; Siyang Xu; Yiting Wang; Yuling Zhang; Shan-Ho Chou; Michael Y Galperin; Jin He
Journal:  Crit Rev Microbiol       Date:  2020-12-28       Impact factor: 7.624

7.  MDGNN: Microbial Drug Prediction Based on Heterogeneous Multi-Attention Graph Neural Network.

Authors:  Jiangsheng Pi; Peishun Jiao; Yang Zhang; Junyi Li
Journal:  Front Microbiol       Date:  2022-04-07       Impact factor: 6.064

8.  A New Bioactive Compound From the Marine Sponge-Derived Streptomyces sp. SBT348 Inhibits Staphylococcal Growth and Biofilm Formation.

Authors:  Srikkanth Balasubramanian; Joseph Skaf; Ulrike Holzgrabe; Richa Bharti; Konrad U Förstner; Wilma Ziebuhr; Ute H Humeida; Usama R Abdelmohsen; Tobias A Oelschlaeger
Journal:  Front Microbiol       Date:  2018-07-11       Impact factor: 5.640

9.  MDAD: A Special Resource for Microbe-Drug Associations.

Authors:  Ya-Zhou Sun; De-Hong Zhang; Shu-Bin Cai; Zhong Ming; Jian-Qiang Li; Xing Chen
Journal:  Front Cell Infect Microbiol       Date:  2018-12-07       Impact factor: 5.293

Review 10.  Inhibition of Virulence Factors and Biofilm Formation of Acinetobacter Baumannii by Naturally-derived and Synthetic Drugs.

Authors:  Nilushi Indika Bamunuarachchi; Fazlurrahman Khan; Young-Mog Kim
Journal:  Curr Drug Targets       Date:  2021       Impact factor: 2.937

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.