Literature DB >> 27778468

Public (Q)SAR Services, Integrated Modeling Environments, and Model Repositories on the Web: State of the Art and Perspectives for Future Development.

Igor V Tetko1,2, Uko Maran3, Alexander Tropsha4,5.   

Abstract

Thousands of (Quantitative) Structure-Activity Relationships (Q)SAR models have been described in peer-reviewed publications; however, this way of sharing seldom makes models available for the use by the research community outside of the developer's laboratory. Conversely, on-line models allow broad dissemination and application representing the most effective way of sharing the scientific knowledge. Approaches for sharing and providing on-line access to models range from web services created by individual users and laboratories to integrated modeling environments and model repositories. This emerging transition from the descriptive and informative, but "static", and for the most part, non-executable print format to interactive, transparent and functional delivery of "living" models is expected to have a transformative effect on modern experimental research in areas of scientific and regulatory use of (Q)SAR models.
© 2017 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

Keywords:  QSAR; QSPR; chemoinformatics; model repositories; on-line modeling environments; web-based models

Mesh:

Year:  2016        PMID: 27778468     DOI: 10.1002/minf.201600082

Source DB:  PubMed          Journal:  Mol Inform        ISSN: 1868-1743            Impact factor:   3.353


  5 in total

1.  Chembench: A Publicly Accessible, Integrated Cheminformatics Portal.

Authors:  Stephen J Capuzzi; Ian Sang-June Kim; Wai In Lam; Thomas E Thornton; Eugene N Muratov; Diane Pozefsky; Alexander Tropsha
Journal:  J Chem Inf Model       Date:  2017-01-19       Impact factor: 4.956

2.  In silico local QSAR modeling of bioconcentration factor of organophosphate pesticides.

Authors:  Purusottam Banjare; Balaji Matore; Jagadish Singh; Partha Pratim Roy
Journal:  In Silico Pharmacol       Date:  2021-04-04

3.  ChemSAR: an online pipelining platform for molecular SAR modeling.

Authors:  Jie Dong; Zhi-Jiang Yao; Min-Feng Zhu; Ning-Ning Wang; Ben Lu; Alex F Chen; Ai-Ping Lu; Hongyu Miao; Wen-Bin Zeng; Dong-Sheng Cao
Journal:  J Cheminform       Date:  2017-05-04       Impact factor: 5.514

4.  QSAR-derived affinity fingerprints (part 1): fingerprint construction and modeling performance for similarity searching, bioactivity classification and scaffold hopping.

Authors:  C Škuta; I Cortés-Ciriano; W Dehaen; P Kříž; G J P van Westen; I V Tetko; A Bender; D Svozil
Journal:  J Cheminform       Date:  2020-05-29       Impact factor: 5.514

5.  Combining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical Systems.

Authors:  John A Keith; Valentin Vassilev-Galindo; Bingqing Cheng; Stefan Chmiela; Michael Gastegger; Klaus-Robert Müller; Alexandre Tkatchenko
Journal:  Chem Rev       Date:  2021-07-07       Impact factor: 60.622

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.