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Editorial

In silico prediction of ADMET properties: how far have we come?

Pages 635-639 | Published online: 19 Oct 2007

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (7)

Abdelmoujoud Faris, Ibrahim M. Ibrahim, Hanine Hadni & Menana Elhallaoui. (2023) High-throughput virtual screening of phenylpyrimidine derivatives as selective JAK3 antagonists using computational methods. Journal of Biomolecular Structure and Dynamics 0:0, pages 1-26.
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Julia Pletz, Steven J. Enoch, Diviya M. Jais, Claire L. Mellor, Gopal Pawar, James W. Firman, Judith C. Madden, Steven D. Webb, Carlos A. Tagliati & Mark T. D. Cronin. (2018) A critical review of adverse effects to the kidney: mechanisms, data sources, and in silico tools to assist prediction. Expert Opinion on Drug Metabolism & Toxicology 14:12, pages 1225-1253.
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K.R. Przybylak, J.C. Madden, E. Covey-Crump, L. Gibson, C. Barber, M. Patel & M.T.D. Cronin. (2018) Characterisation of data resources for in silico modelling: benchmark datasets for ADME properties. Expert Opinion on Drug Metabolism & Toxicology 14:2, pages 169-181.
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Luis G Valerio$suffix/text()$suffix/text(), Chihae Yang, Kirk B Arvidson & Naomi L Kruhlak. (2010) A structural feature-based computational approach for toxicology predictions. Expert Opinion on Drug Metabolism & Toxicology 6:4, pages 505-518.
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Bo Wen & William L Fitch. (2009) Analytical strategies for the screening and evaluation of chemically reactive drug metabolites. Expert Opinion on Drug Metabolism & Toxicology 5:1, pages 39-55.
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Abdelmoujoud Faris, Ibrahim M. Ibrahim, Radwan Alnajjar, Hanine Hadni, Mashooq Ahmad Bhat, Muhammad Yaseen, Souvik Chakraborty, Nada Alsakhen, Israa M. Shamkh, Fazal Mabood, Ahmed M. Naglah, Ihsan Ullah, Noha Ziedan & Menana Elhallaoui. QSAR-driven screening uncovers and designs novel pyrimidine-4,6-diamine derivatives as potent JAK3 inhibitors. Journal of Biomolecular Structure and Dynamics 0:0, pages 1-30.
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Articles from other publishers (56)

Sadra Kashef Ol Gheta, Anne Bonin, Thomas Gerlach & Andreas H. Göller. (2023) Predicting absolute aqueous solubility by applying a machine learning model for an artificially liquid-state as proxy for the solid-state. Journal of Computer-Aided Molecular Design 37:12, pages 765-789.
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Abdelmoujoud Faris, Ibrahim M. Ibrahim, Omkulthom Al kamaly, Asmaa Saleh & Menana Elhallaoui. (2023) Computer-Aided Drug Design of Novel Derivatives of 2-Amino-7,9-dihydro-8H-purin-8-one as Potent Pan-Janus JAK3 Inhibitors. Molecules 28:15, pages 5914.
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Meriem Lamrani, Talia Serseg, Khedidja Benarous, Ibrahim Sifi & Mohamed Yousfi. (2023) Hydroxycoumarins and some Flavonoids from Pistacia atlantica Desf. as Multi-targets Inhibitors for Alzheimer’s Disease: Molecular Docking and ADMET Studies. Current Computer-Aided Drug Design 19:3, pages 176-191.
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K.M. Salim Andalib, Partha Biswas, Musfiqur Rahman Sakib, Md. Nazmul Hasan, Md Habibur Rahman & Ahsan Habib. (2023) Identification of novel MCM2 inhibitors from Catharanthus roseus by pharmacoinformatics, molecular docking and molecular dynamics simulation-based evaluation. Informatics in Medicine Unlocked 39, pages 101251.
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P. Sucharitha, K. Ramesh Reddy, S.V. Satyanarayana & Tripta Garg. 2022. Computational Approaches for Novel Therapeutic and Diagnostic Designing to Mitigate SARS-CoV-2 Infection. Computational Approaches for Novel Therapeutic and Diagnostic Designing to Mitigate SARS-CoV-2 Infection 335 355 .
Suraj N. Mali & Anima Pandey. (2021) Molecular Modeling Studies on 2,4-Disubstituted Imidazopyridines as Anti-Malarials: Atom-Based 3D-QSAR, Molecular Docking, Virtual Screening, In-Silico ADMET and Theoretical Analysis. Journal of Computational Biophysics and Chemistry 20:03, pages 267-282.
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Begüm Nurpelin Sağlık, Derya Osmaniye, Serkan Levent, Ulviye Acar Çevik, Betül Kaya Çavuşoğlu, Yusuf Özkay & Zafer Asım Kaplancıklı. (2021) Design, synthesis and biological assessment of new selective COX-2 inhibitors including methyl sulfonyl moiety. European Journal of Medicinal Chemistry 209, pages 112918.
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Pobitra Borah, Sangeeta Hazarika, Satyendra Deka, Katharigatta N. Venugopala, Anroop B. Nair, Mahesh Attimarad, Nagaraja Sreeharsha & Raghu P. Mailavaram. (2020) Application of Advanced Technologies in Natural Product Research: A Review with Special Emphasis on ADMET Profiling. Current Drug Metabolism 21:10, pages 751-767.
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Fengxu Wu, Yuquan Zhou, Langhui Li, Xianhuan Shen, Ganying Chen, Xiaoqing Wang, Xianyang Liang, Mengyuan Tan & Zunnan Huang. (2020) Computational Approaches in Preclinical Studies on Drug Discovery and Development. Frontiers in Chemistry 8.
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Jinwen Shan & Changge Ji. (2020) MolOpt: A Web Server for Drug Design using Bioisosteric Transformation. Current Computer-Aided Drug Design 16:4, pages 460-466.
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Suqing Zheng, Yibing Wang, Wenxin Liu, Wenping Chang, Guang Liang, Yong Xu & Fu Lin. (2019) In Silico Prediction of Hemolytic Toxicity on the Human Erythrocytes for Small Molecules by Machine-Learning and Genetic Algorithm. Journal of Medicinal Chemistry 63:12, pages 6499-6512.
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Suqing Zheng, Jun Xiong, Yibing Wang, Guang Liang, Yong Xu & Fu Lin. (2020) Quantitative Prediction of Hemolytic Toxicity for Small Molecules and Their Potential Hemolytic Fragments by Machine Learning and Recursive Fragmentation Methods. Journal of Chemical Information and Modeling 60:6, pages 3231-3245.
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Alla P. Toropova, Andrey A. Toropov & Emilio Benfenati. (2020) QSAR-Models, Validation, and IIC-Paradox for Drug Toxicity. International Journal of Quantitative Structure-Property Relationships 5:1, pages 22-43.
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Manju Mathew, Raja Chinnamanayakar & Ezhilarasi Muthuvel Ramanathan. (2020) Synthesis, Characterization, in vitro Antimicrobial Evaluation and in silico Molecular Docking and ADME Prediction of 4-Chlorophenyl Furfuran Derivatives bearing Pyrazole Moieties. Asian Journal of Chemistry 32:6, pages 1482-1490.
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Stephen C DeVito. (2018) The Need for, and the Role of the Toxicological Chemist in the Design of Safer Chemicals. Toxicological Sciences 161:2, pages 225-240.
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George Lambrinidis, Fotios Tsopelas, Costas Giaginis & Anna Tsantili-Kakoulidou. 2017. Advances in QSAR Modeling. Advances in QSAR Modeling 339 384 .
Ashenafi Legehar, Henri Xhaard & Leo Ghemtio. (2016) IDAAPM: integrated database of ADMET and adverse effects of predictive modeling based on FDA approved drug data. Journal of Cheminformatics 8:1.
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Kee-Choo Chung & Hwangseo Park. (2016) Extended solvent-contact model approach to blind SAMPL5 prediction challenge for the distribution coefficients of drug-like molecules. Journal of Computer-Aided Molecular Design 30:11, pages 1019-1033.
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Dharmendra Yadav, Reeta Rai, Ramendra Pratap & Harpreet Singh. 2016. Chemometrics Applications and Research. Chemometrics Applications and Research 33 99 .
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Peter Gedeck, Christian Kramer & Richard Lewis. 2015. Attrition in the Pharmaceutical Industry. Attrition in the Pharmaceutical Industry 264 286 .
Antoine Daina, Olivier Michielin & Vincent Zoete. (2014) iLOGP: A Simple, Robust, and Efficient Description of n -Octanol/Water Partition Coefficient for Drug Design Using the GB/SA Approach . Journal of Chemical Information and Modeling 54:12, pages 3284-3301.
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Luz Romero & José Miguel Vela. 2014. In Vivo Models for Drug Discovery. In Vivo Models for Drug Discovery 27 58 .
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Madeline E. Kavanagh, Munikumar Reddy Doddareddy & Michael Kassiou. (2013) The development of CNS-active LRRK2 inhibitors using property-directed optimisation. Bioorganic & Medicinal Chemistry Letters 23:13, pages 3690-3696.
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Veronika Opletalová, Petr Kastner, Marta Kučerová-Chlupáčová & Karel Palát. (2013) Study of hydrophobic properties of biologically active open analogues of flavonoids. Journal of Molecular Graphics and Modelling 39, pages 61-64.
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Hans Matter & Wolfgang Schmider. 2013. Drug Discovery and Evaluation: Safety and Pharmacokinetic Assays. Drug Discovery and Evaluation: Safety and Pharmacokinetic Assays 1005 1052 .
Dongyue Cao, Junmei Wang, Rui Zhou, Youyong Li, Huidong Yu & Tingjun Hou. (2012) ADMET Evaluation in Drug Discovery. 11. PharmacoKinetics Knowledge Base (PKKB): A Comprehensive Database of Pharmacokinetic and Toxic Properties for Drugs. Journal of Chemical Information and Modeling 52:5, pages 1132-1137.
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Sichao Wang, Youyong Li, Junmei Wang, Lei Chen, Liling Zhang, Huidong Yu & Tingjun Hou. (2012) ADMET Evaluation in Drug Discovery. 12. Development of Binary Classification Models for Prediction of hERG Potassium Channel Blockage. Molecular Pharmaceutics 9:4, pages 996-1010.
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Michael Krein, Tao‐Wei Huang, Lisa Morkowchuk, Dimitris K. Agrafiotis & Curt M. Breneman. 2012. Statistical Modelling of Molecular Descriptors in QSAR/QSPR. Statistical Modelling of Molecular Descriptors in QSAR/QSPR 33 64 .
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Giovanni Marzaro, Francesca Tonus, Paola Brun, Ignazio Castagliuolo, Adriano Guiotto & Adriana Chilin. (2011) The Importance of Descriptor‐Based Clusterization in QSAR Models Development: Tyrosine Kinases Inhibitors as a Key Study. Molecular Informatics 30:8, pages 721-732.
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Gary An, John Bartels & Yoram Vodovotz. (2010) In silico augmentation of the drug development pipeline: examples from the study of acute inflammation. Drug Development Research 72:2, pages 187-200.
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