Frontiers in Bioinformatics | Drug Discovery in Bioinformatics

Original Research

Published on 07 Sep 2021

Antibody Class(es) Predictor for Epitopes (AbCPE): A Multi-Label Classification Algorithm

in Drug Discovery in Bioinformatics

Kiran Kadam
Noor Peerzada
Rajiv Karbhal
Sangeeta Sawant
Jayaraman Valadi
Urmila Kulkarni-Kale

Frontiers in Bioinformatics

doi 10.3389/fbinf.2021.709951

4,381 views
8 citations

Original Research

Published on 03 Sep 2021

A Mechanistic Site-Of-Action Model: A Tool for Informing Right Target, Right Compound, And Right Dose for Therapeutic Antagonistic Antibody Programs

in Drug Discovery in Bioinformatics

Georgi I. Kapitanov
Jeffrey R. Chabot
Jatin Narula
Mahua Roy
Hendrik Neubert
Joe Palandra
Vahid Farrokhi
Jay S. Johnson
Robert Webster
Hannah M. Jones

Frontiers in Bioinformatics

doi 10.3389/fbinf.2021.731340

5,090 views
4 citations

Original Research

Published on 19 Aug 2021

Predicted B Cell Epitopes Highlight the Potential for COVID-19 to Drive Self-Reactive Immunity

in Drug Discovery in Bioinformatics

Rhiane Moody
Kirsty L. Wilson
Jennifer C. Boer
Jessica K. Holien
Katie L. Flanagan
Anthony Jaworowski
Magdalena Plebanski

Frontiers in Bioinformatics

doi 10.3389/fbinf.2021.709533

5,448 views
15 citations

Original Research

Published on 13 Aug 2021

Predicting the Effects of Drug Combinations Using Probabilistic Matrix Factorization

in Drug Discovery in Bioinformatics

Ron Nafshi
Timothy R. Lezon

Frontiers in Bioinformatics

doi 10.3389/fbinf.2021.708815

4,583 views
8 citations

Technology and Code

Published on 07 Jul 2021

EPIphany—A Platform for Analysis and Visualization of Peptide Immunoarray Data

in Drug Discovery in Bioinformatics

Zoe Parker Cates
Antonio Facciuolo
Daniel Hogan
Philip J. Griebel
Scott Napper
Anthony J. Kusalik

Frontiers in Bioinformatics

doi 10.3389/fbinf.2021.694324

2,078 views
3 citations

Brief Research Report

Published on 27 Apr 2021

Data Driven Cell Cycle Model to Quantify the Efficacy of Cancer Therapeutics Targeting Specific Cell-Cycle Phases From Flow Cytometry Results

in Drug Discovery in Bioinformatics

David W. James
Andrew Filby
M. Rowan Brown
Huw D. Summers
Lewis W. Francis
Paul Rees

Frontiers in Bioinformatics

doi 10.3389/fbinf.2021.662210

2,863 views

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Articles

Antibody Class(es) Predictor for Epitopes (AbCPE): A Multi-Label Classification Algorithm

A Mechanistic Site-Of-Action Model: A Tool for Informing Right Target, Right Compound, And Right Dose for Therapeutic Antagonistic Antibody Programs

Predicted B Cell Epitopes Highlight the Potential for COVID-19 to Drive Self-Reactive Immunity

Predicting the Effects of Drug Combinations Using Probabilistic Matrix Factorization

EPIphany—A Platform for Analysis and Visualization of Peptide Immunoarray Data

Data Driven Cell Cycle Model to Quantify the Efficacy of Cancer Therapeutics Targeting Specific Cell-Cycle Phases From Flow Cytometry Results