Literature DB >> 26898267

Public Domain HTS Fingerprints: Design and Evaluation of Compound Bioactivity Profiles from PubChem's Bioassay Repository.

Kazi Yasin Helal1, Mateusz Maciejewski2, Elisabet Gregori-Puigjané1, Meir Glick3, Anne Mai Wassermann2.   

Abstract

Molecular profiling efforts aim at characterizing the biological actions of small molecules by screening them in hundreds of different biochemical and/or cell-based assays. Together, these assays yield a rich data landscape of target-based and phenotypic effects of the tested compounds. However, submitting an entire compound library to a molecular profiling panel can easily become cost-prohibitive. Here, we make use of historical screening assays to create comprehensive bioactivity profiles for more than 300 000 small molecules. These bioactivity profiles, termed PubChem high-throughput screening fingerprints (PubChem HTSFPs), report small molecule activities in 243 different PubChem bioassays. Although the assays originate from originally independently pursued drug or probe discovery projects, we demonstrate their value as molecular signatures when used in combination. We use these PubChem HTSFPs as molecular descriptors in hit expansion experiments for 33 different targets and phenotypes, showing that, on average, they lead to 27 times as many hits in a set of 1000 chosen molecules as a random screening subset of the same size (average ROC score: 0.82). Moreover, we demonstrate that PubChem HTSFPs retrieve hits that are structurally diverse and distinct from active compounds retrieved by chemical similarity-based hit expansion methods. PubChem HTSFPs are made freely available for the chemical biology research community.

Mesh:

Year:  2016        PMID: 26898267     DOI: 10.1021/acs.jcim.5b00498

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  14 in total

Review 1.  Large-Scale Prediction of Drug-Target Interaction: a Data-Centric Review.

Authors:  Tiejun Cheng; Ming Hao; Takako Takeda; Stephen H Bryant; Yanli Wang
Journal:  AAPS J       Date:  2017-06-02       Impact factor: 4.009

2.  Chemoinformatics: a perspective from an academic setting in Latin America.

Authors:  J Jesús Naveja; C Iluhí Oviedo-Osornio; Nicole N Trujillo-Minero; José L Medina-Franco
Journal:  Mol Divers       Date:  2017-12-04       Impact factor: 2.943

3.  Combining structural and bioactivity-based fingerprints improves prediction performance and scaffold hopping capability.

Authors:  Oliver Laufkötter; Noé Sturm; Jürgen Bajorath; Hongming Chen; Ola Engkvist
Journal:  J Cheminform       Date:  2019-08-08       Impact factor: 5.514

Review 4.  How Open Data Shapes In Silico Transporter Modeling.

Authors:  Floriane Montanari; Barbara Zdrazil
Journal:  Molecules       Date:  2017-03-07       Impact factor: 4.411

5.  bioassayR: Cross-Target Analysis of Small Molecule Bioactivity.

Authors:  Tyler William H Backman; Thomas Girke
Journal:  J Chem Inf Model       Date:  2016-07-12       Impact factor: 4.956

6.  ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics.

Authors:  Jiangming Sun; Nina Jeliazkova; Vladimir Chupakin; Jose-Felipe Golib-Dzib; Ola Engkvist; Lars Carlsson; Jörg Wegner; Hugo Ceulemans; Ivan Georgiev; Vedrin Jeliazkov; Nikolay Kochev; Thomas J Ashby; Hongming Chen
Journal:  J Cheminform       Date:  2017-03-07       Impact factor: 5.514

7.  Effect of missing data on multitask prediction methods.

Authors:  Antonio de la Vega de León; Beining Chen; Valerie J Gillet
Journal:  J Cheminform       Date:  2018-05-22       Impact factor: 5.514

8.  Discovery of Novel eEF2K Inhibitors Using HTS Fingerprint Generated from Predicted Profiling of Compound-Protein Interactions.

Authors:  Atsushi Yoshimori; Enzo Kawasaki; Ryuta Murakami; Chisato Kanai
Journal:  Medicines (Basel)       Date:  2021-05-20

9.  ChemBioSim: Enhancing Conformal Prediction of In Vivo Toxicity by Use of Predicted Bioactivities.

Authors:  Marina Garcia de Lomana; Andrea Morger; Ulf Norinder; Roland Buesen; Robert Landsiedel; Andrea Volkamer; Johannes Kirchmair; Miriam Mathea
Journal:  J Chem Inf Model       Date:  2021-06-21       Impact factor: 4.956

10.  PubChem BioAssay: A Decade's Development toward Open High-Throughput Screening Data Sharing.

Authors:  Yanli Wang; Tiejun Cheng; Stephen H Bryant
Journal:  SLAS Discov       Date:  2017-01-13       Impact factor: 3.341

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