Literature DB >> 12546557

PASS biological activity spectrum predictions in the enhanced open NCI database browser.

Vladimir V Poroikov1, Dmitrii A Filimonov, Wolf-Dietrich Ihlenfeldt, Tatyana A Gloriozova, Alexey A Lagunin, Yulia V Borodina, Alla V Stepanchikova, Marc C Nicklaus.   

Abstract

The application of the program PASS (Prediction of Activity Spectra for Substances) to about 250 000 compounds of the NCI Open Database and the incorporation of over 64 million PASS predictions in the Enhanced NCI Database Browser are described. A total of 565 different types of activity are included, encompassing general pharmacological effects, specific mechanisms of action, known toxicities, and others. Application of this Web-based service to prediction of activities of the kinds "Angiogenesis inhibitor," "Antiviral (HIV)", and a set of activities that can be associated with antineoplastic action are reported. For this latter data set, a very substantial enrichment over random selection was found in the PASS predictions. It is shown how the user can conduct complex searches by combining ranges of PASS-predicted probabilities of compounds to be active or to be inactive, respectively, with, e.g., value ranges of physicochemical parameters, presence or absence of particular substructural fragment, and other search criteria.

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Year:  2003        PMID: 12546557     DOI: 10.1021/ci020048r

Source DB:  PubMed          Journal:  J Chem Inf Comput Sci        ISSN: 0095-2338


  47 in total

1.  How to acquire new biological activities in old compounds by computer prediction.

Authors:  V V Poroikov; D A Filimonov
Journal:  J Comput Aided Mol Des       Date:  2002-11       Impact factor: 3.686

2.  Biological spectra analysis: Linking biological activity profiles to molecular structure.

Authors:  Anton F Fliri; William T Loging; Peter F Thadeio; Robert A Volkmann
Journal:  Proc Natl Acad Sci U S A       Date:  2004-12-29       Impact factor: 11.205

3.  Classification of a large anticancer data set by adaptive fuzzy partition.

Authors:  Nadège Piclin; Marco Pintore; Christophe Wechman; Jacques R Chrétien
Journal:  J Comput Aided Mol Des       Date:  2004 Jul-Sep       Impact factor: 3.686

4.  Why relevant chemical information cannot be exchanged without disclosing structures.

Authors:  Dmitry Filimonov; Vladimir Poroikov
Journal:  J Comput Aided Mol Des       Date:  2005-11-03       Impact factor: 3.686

5.  Reverse engineering chemical structures from molecular descriptors: how many solutions?

Authors:  Jean-Loup Faulon; W Michael Brown; Shawn Martin
Journal:  J Comput Aided Mol Des       Date:  2005-11-03       Impact factor: 3.686

6.  Toward automated biochemotype annotation for large compound libraries.

Authors:  Xian Chen; Yizeng Liang; Jun Xu
Journal:  Mol Divers       Date:  2006-09-12       Impact factor: 2.943

7.  Anti-arthritic activity of ferulic acid in complete Freund's adjuvant (CFA)-induced arthritis in rats: JAK2 inhibition.

Authors:  Lijuan Zhu; Zhenshan Zhang; Nannan Xia; Weifeng Zhang; Yanlin Wei; Jiashu Huang; Zhijuan Ren; Feilong Meng; Lei Yang
Journal:  Inflammopharmacology       Date:  2019-09-27       Impact factor: 4.473

8.  Protective effects of a piperazine derivative [N-{4-[4-(2-methoxy-phenyl)-piperazin-1-yl]-phenyl} carbamic acid ethyl ester] against aluminium-induced neurotoxicity: insights from in silico and in vivo studies.

Authors:  Poonam Meena; Apra Manral; Vikas Saini; Manisha Tiwari
Journal:  Neurotox Res       Date:  2014-11-18       Impact factor: 3.911

9.  Therapeutic potential of compound K as an IKK inhibitor with implications for osteoarthritis prevention: an in silico and in vitro study.

Authors:  Sera Kang; Muhammad Hanif Siddiqi; Sung Joo Yoon; Sungeun Ahn; Hae-Yong Noh; Natarajan Sathish Kumar; Yeon-Ju Kim; Deok-Chun Yang
Journal:  In Vitro Cell Dev Biol Anim       Date:  2016-07-01       Impact factor: 2.416

Review 10.  The interplay between QSAR/QSPR studies and partial order ranking and formal concept analyses.

Authors:  Lars Carlsen
Journal:  Int J Mol Sci       Date:  2009-04-17       Impact factor: 6.208

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