All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.
Abstract
Recent trends in drug-likeness prediction: A comprehensive review of In silico methods
Author(s): RU Kadam, N Roy
Centre of Pharmacoinformatics, National Institute of Pharmaceutical Education and Research, Sector 67, S. A. S.Nagar, Punjab - 160 062, India
Correspondence Address:
N Roy Centre of Pharmacoinformatics, National Institute of Pharmaceutical Education and Research, Sector 67, S. A. S.Nagar, Punjab - 160 062 India E-mail: nilanjanroy@niper.ac.in
Centre of Pharmacoinformatics, National Institute of Pharmaceutical Education and Research, Sector 67, S. A. S.Nagar, Punjab - 160 062, India
Correspondence Address:
N Roy Centre of Pharmacoinformatics, National Institute of Pharmaceutical Education and Research, Sector 67, S. A. S.Nagar, Punjab - 160 062 India E-mail: nilanjanroy@niper.ac.in
The low success rate of converting lead compounds into drugs owing to unfavorable pharmacokinetic parameters has evoked a renewed interest in understanding more clearly what makes a compound drug-like. This article reviews a number of computational techniques for identifying drug-like molecules, ranging from simple counting schemes to sophisticated machine learning techniques such as neural networks, along with their application and challenges.
indian village wife early morning sex, indian group porn video, hindi xxx, beeg com, sex video, hd hot xxx video
Full-Text | PDF
