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Avid M Afzal

Showing results (1-10 of 17) with videos related to

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Journal of Cheminformatics|February 23, 2018
Maximizing gain in high-throughput screening using conformal predictionFredrik Svensson, Avid M Afzal, Ulf Norinder, et al.
Pattern Recognition Letters|October 6, 2015
The Parzen Window method: In terms of two vectors and one matrixHamse Y Mussa, John B O Mitchell, Avid M Afzal
Journal of Chemical Information and Modeling|September 1, 2020
Comparison of Scaling Methods to Obtain Calibrated Probabilities of Activity for Protein-Ligand PredictionsLewis H Mervin, Avid M Afzal, Ola Engkvist, et al.
Frontiers in Pharmacology|June 27, 2018
Extending <i>in Silico</i> Protein Target Prediction Models to Include Functional EffectsLewis H Mervin, Avid M Afzal, Lars Brive, et al.
Proteins|August 19, 2014
Bridging of anions by hydrogen bonds in nest motifs and its significance for Schellman loops and other larger motifs within proteinsAvid M Afzal, Fawzia Al-Shubailly, David P Leader, et al.
ACS Medicinal Chemistry Letters|April 19, 2019
Prediction of UGT-mediated Metabolism Using the Manually Curated MetaQSAR DatabaseAngelica Mazzolari, Avid M Afzal, Alessandro Pedretti, et al.
Chemical Research in Toxicology|August 24, 2019
Understanding Conditional Associations between ToxCast <i>in Vitro</i> Readouts and the Hepatotoxicity of Compounds Using Rule-Based MethodsSamar Y Mahmoud, Fredrik Svensson, Azedine Zoufir, et al.
Journal of Cheminformatics|June 12, 2015
A multi-label approach to target prediction taking ligand promiscuity into accountAvid M Afzal, Hamse Y Mussa, Richard E Turner, et al.
Journal of Cheminformatics|October 27, 2015
Target prediction utilising negative bioactivity data covering large chemical spaceLewis H Mervin, Avid M Afzal, Georgios Drakakis, et al.
Journal of Cheminformatics|August 20, 2021
Probabilistic Random Forest improves bioactivity predictions close to the classification threshold by taking into account experimental uncertaintyLewis H Mervin, Maria-Anna Trapotsi, Avid M Afzal, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Journal of Cheminformatics|February 23, 2018
Maximizing gain in high-throughput screening using conformal predictionFredrik Svensson, Avid M Afzal, Ulf Norinder, et al.
Pattern Recognition Letters|October 6, 2015
The Parzen Window method: In terms of two vectors and one matrixHamse Y Mussa, John B O Mitchell, Avid M Afzal
Journal of Chemical Information and Modeling|September 1, 2020
Comparison of Scaling Methods to Obtain Calibrated Probabilities of Activity for Protein-Ligand PredictionsLewis H Mervin, Avid M Afzal, Ola Engkvist, et al.
Frontiers in Pharmacology|June 27, 2018
Extending <i>in Silico</i> Protein Target Prediction Models to Include Functional EffectsLewis H Mervin, Avid M Afzal, Lars Brive, et al.
Proteins|August 19, 2014
Bridging of anions by hydrogen bonds in nest motifs and its significance for Schellman loops and other larger motifs within proteinsAvid M Afzal, Fawzia Al-Shubailly, David P Leader, et al.
ACS Medicinal Chemistry Letters|April 19, 2019
Prediction of UGT-mediated Metabolism Using the Manually Curated MetaQSAR DatabaseAngelica Mazzolari, Avid M Afzal, Alessandro Pedretti, et al.
Chemical Research in Toxicology|August 24, 2019
Understanding Conditional Associations between ToxCast <i>in Vitro</i> Readouts and the Hepatotoxicity of Compounds Using Rule-Based MethodsSamar Y Mahmoud, Fredrik Svensson, Azedine Zoufir, et al.
Journal of Cheminformatics|June 12, 2015
A multi-label approach to target prediction taking ligand promiscuity into accountAvid M Afzal, Hamse Y Mussa, Richard E Turner, et al.
Journal of Cheminformatics|October 27, 2015
Target prediction utilising negative bioactivity data covering large chemical spaceLewis H Mervin, Avid M Afzal, Georgios Drakakis, et al.
Journal of Cheminformatics|August 20, 2021
Probabilistic Random Forest improves bioactivity predictions close to the classification threshold by taking into account experimental uncertaintyLewis H Mervin, Maria-Anna Trapotsi, Avid M Afzal, et al.
Pageof 2