Literature DB >> 30117394

Overview of Free Software Developed for Designing Drugs Based on Protein-Small Molecules Interaction.

Piyush Agrawal1,2, Pawan Kumar Raghav1, Sherry Bhalla1, Neelam Sharma1, Gajendra P S Raghava1,2.   

Abstract

One of the fundamental challenges in designing drug molecule against a disease target or protein is to predict binding affinity between target and drug or small molecule. In this review, our focus will be on advancement in the field of protein-small molecule interaction. This review has been divided into four major sections. In the first section, we will cover software developed for protein structure prediction. This will include prediction of binding pockets and post-translation modifications in proteins. In the second section, we will discuss software packages developed for predicting small-molecule interacting residues in a protein. Advances in the field of docking particularly advancement in the knowledgebased force fields will be discussed in the third part of the review. This section will also cover the method developed for predicting affinity between protein and drug molecules. The fourth section of the review will describe miscellaneous techniques used for designing drug molecules, like pharmacophore modelling. Our major emphasis in this review will be on computational tools that are available free for academic use. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

Keywords:  Docking; Molecular Dynamics; Pharmacophore; Postzzm321990Translational Modifications; Protein-small molecule interaction; Structure Prediction.

Mesh:

Substances:

Year:  2018        PMID: 30117394     DOI: 10.2174/1568026618666180816155131

Source DB:  PubMed          Journal:  Curr Top Med Chem        ISSN: 1568-0266            Impact factor:   3.295


  2 in total

1.  SAMbinder: A Web Server for Predicting S-Adenosyl-L-Methionine Binding Residues of a Protein From Its Amino Acid Sequence.

Authors:  Piyush Agrawal; Gaurav Mishra; Gajendra P S Raghava
Journal:  Front Pharmacol       Date:  2020-01-30       Impact factor: 5.810

2.  NAGbinder: An approach for identifying N-acetylglucosamine interacting residues of a protein from its primary sequence.

Authors:  Sumeet Patiyal; Piyush Agrawal; Vinod Kumar; Anjali Dhall; Rajesh Kumar; Gaurav Mishra; Gajendra P S Raghava
Journal:  Protein Sci       Date:  2019-11-07       Impact factor: 6.725

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.