Avid M. Afzal

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Target Fishing: A Single-Label or Multi-Label Problem? pdf

Richard E. Turner, Andreas Bender, Robert C. Glen, 2014, ArXiv.

A Bayesian neural network for toxicity prediction

Avid M. Afzal, Elizaveta Semenova, Dominic P. Williams, 2020 .

Extending in Silico Protein Target Prediction Models to Include Functional Effects

Andreas Bender, Ola Engkvist, Avid M. Afzal, 2018, Front. Pharmacol..

FAst MEtabolizer (FAME): A Rapid and Accurate Predictor of Sites of Metabolism in Multiple Species by Endogenous Enzymes

Robert C. Glen, Avid M. Afzal, Mark J. Williamson, 2013, J. Chem. Inf. Model..

Orthologue chemical space and its influence on target prediction

Andreas Bender, Ola Engkvist, Avid M. Afzal, 2017, Bioinform..

Maximizing gain in high-throughput screening using conformal prediction

Andreas Bender, Ulf Norinder, Avid M. Afzal, 2018, Journal of Cheminformatics.

The Parzen Window method: In terms of two vectors and one matrix☆

Avid M. Afzal, Hamse Y. Mussa, John B. O. Mitchell, 2015, Pattern Recognit. Lett..

Maximizing Gain in HTS Screening Using Conformal Prediction

Andreas Bender, Ulf Norinder, Avid M. Afzal, 2017, COPA.

A multi-label approach to target prediction taking ligand promiscuity into account

Richard E. Turner, Andreas Bender, Robert C. Glen, 2015, Journal of Cheminformatics.

Target prediction utilising negative bioactivity data covering large chemical space

Andreas Bender, Ola Engkvist, Avid M. Afzal, 2015, Journal of Cheminformatics.

A Bayesian neural network for toxicity prediction

Avid M. Afzal, Stanley E. Lazic, Elizaveta Semenova, 2020, bioRxiv.

Probabilistic Random Forest improves bioactivity predictions close to the classification threshold by taking into account experimental uncertainty

Andreas Bender, Ola Engkvist, Avid M. Afzal, 2021, Journal of Cheminformatics.

Probabilistic Random Forest improves bioactivity predictions close to the classification threshold by taking into account experimental uncertainty

Andreas Bender, Ola Engkvist, Avid M. Afzal, 2021, Journal of Cheminformatics.

Comparison of Chemical Structure and Cell Morphology Information for Multitask Bioactivity Predictions

Andreas Bender, Ola Engkvist, Avid M. Afzal, 2021, J. Chem. Inf. Model..

Information-Derived Mechanistic Hypotheses for Structural Cardiotoxicity.

Avid M. Afzal, Jerome T. Mettetal, Kathryn A. Giblin, 2018, Chemical research in toxicology.

Multitask Bioactivity Predictions Using Structural Chemical and Cell Morphology Information

Avid M. Afzal, Lewis H. Mervin, A. Bender, 2020 .

Flexible fitting of PROTAC concentration-response curves with changepoint Gaussian Processes

Avid M. Afzal, S. Lazic, M. Guerriero, 2020, bioRxiv.

Bioinformatics: Concepts, Methods, and Data

Avid M. Afzal, D. Leader, Scott W. Robinson, 2014 .

A Comparison of Scaling Methods to Obtain Calibrated Probabilities of Activity for Ligand-Target Predictions

Avid M. Afzal, Lewis H. Mervin, A. Bender, 2020 .

Systematic analysis of protein targets associated with adverse events of drugs from clinical trials and post-marketing reports

Avid M. Afzal, Chad H. G. Allen, A. Bender, 2020, bioRxiv.

A Comparison of Scaling Methods to Obtain Calibrated Probabilities of Activity for Ligand-Target Predictions

Avid M. Afzal, Lewis H. Mervin, A. Bender, 2020 .

New Associations between Drug-Induced Adverse Events in Animal Models and Humans Reveal Novel Candidate Safety Targets.

Avid M. Afzal, Kathryn A. Giblin, A. Bender, 2020, Chemical research in toxicology.

Towards understanding antimicrobial activity, cytotoxicity and the mode of action of dichapetalins A and M using in silico and in vitro studiesManuscript Number: TOXCON-D-20-00369R1.

Avid M. Afzal, Lewis H. Mervin, A. Bender, 2021, Toxicon : official journal of the International Society on Toxinology.

Systematic Analysis of Protein Targets Associated with Adverse Events of Drugs from Clinical Trials and Postmarketing Reports.

Avid M. Afzal, Chad H. G. Allen, A. Bender, 2020, Chemical research in toxicology.

Understanding conditional associations between ToxCast in vitro readouts and the hepatotoxicity of compounds using rule-based methods.

Avid M. Afzal, A. Bender, F. Svensson, 2019, Chemical research in toxicology.

Bridging of anions by hydrogen bonds in nest motifs and its significance for Schellman loops and other larger motifs within proteins

Avid M. Afzal, D. Leader, E. Milner-White, 2014, Proteins.

Prediction of UGT-mediated Metabolism Using the Manually Curated MetaQSAR Database.

Andreas Bender, Avid M Afzal, Avid M. Afzal, 2019, ACS medicinal chemistry letters.

Multitask Bioactivity Predictions Using Structural Chemical and Cell Morphology Information

Avid M. Afzal, Lewis H. Mervin, A. Bender, 2020 .

A survey of Bayesian statistical methods in biomarker discovery and early clinical development

Avid M. Afzal, Anupreet Porwal, Himel Mallick, 2023, Communications in Statistics: Case Studies, Data Analysis and Applications.