Avid M. Afzal - Concepedia

Author

Avid M. Afzal

University of Cambridge ORCID

Also Known As

Afzal, AM, Afzal, Avid M., Avid M Afzal, Avid M. Afzal, Avid Muammar Afzal

Publications

553

Citations

H-Index

Concepts

All Affiliations

University of Cambridge AstraZeneca (United Kingdom)AstraZeneca (Sweden)

About

Avid M. Afzal is an author at University of Cambridge specializing in medicine, systems biology, and biochemistry.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	4	4	120
2	Biochemistry	3	3	77
3	Natural Sciences	2	2	64
4	Public Health	1	1	43
5	Biology	1	1	52

Avid M. Afzal

Publications

470

Citations

H-Index

Page 1

	Year	Citations
Target prediction utilising negative bioactivity data covering large chemical space Lewis Mervin, Avid M. Afzal, Georgios Drakakis, Journal of Cheminformatics	2015	128
FAst MEtabolizer (FAME): A Rapid and Accurate Predictor of Sites of Metabolism in Multiple Species by Endogenous Enzymes Johannes Kirchmair, Mark J. Williamson, Avid M. Afzal, Journal of Chemical Information and Modeling Metabolomic ProfilingMetabolic ModelMetabolic NetworkMetabolic EngineeringRandom Forest Models	2013	52
Comparison of Chemical Structure and Cell Morphology Information for Multitask Bioactivity Predictions Maria‐Anna Trapotsi, Lewis Mervin, Avid M. Afzal, Journal of Chemical Information and Modeling	2021	48
A Bayesian neural network for toxicity prediction Elizaveta Semenova, Dominic P. Williams, Avid M. Afzal, Computational Toxicology Predictive ToxicologyData SciencePredictive AnalyticsForensic ToxicologyBayesian Network	2020	43
Orthologue chemical space and its influence on target prediction Lewis Mervin, Krishna C. Bulusu, Leen Kalash, Bioinformatics	2017	38
A multi-label approach to target prediction taking ligand promiscuity into account Avid M. Afzal, Hamse Y. Mussa, Richard E. Turner, Journal of Cheminformatics	2015	35
Systematic Analysis of Protein Targets Associated with Adverse Events of Drugs from Clinical Trials and Postmarketing Reports Ines Smit, Avid M. Afzal, Chad H. G. Allen, Chemical Research in Toxicology	2020	24
Maximizing gain in high-throughput screening using conformal prediction Fredrik Svensson, Avid M. Afzal, Ulf Norinder, Journal of Cheminformatics	2018	22
Comparison of Scaling Methods to Obtain Calibrated Probabilities of Activity for Protein–Ligand Predictions Lewis Mervin, Avid M. Afzal, Ola Engkvist, Journal of Chemical Information and Modeling	2020	21
Probabilistic Random Forest improves bioactivity predictions close to the classification threshold by taking into account experimental uncertainty Lewis Mervin, Maria‐Anna Trapotsi, Avid M. Afzal, Journal of Cheminformatics	2021	19

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