Literature DB >> 26208641

Role of computer-aided drug design in modern drug discovery.

Stephani Joy Y Macalino1, Vijayakumar Gosu1, Sunhye Hong1, Sun Choi2.   

Abstract

Drug discovery utilizes chemical biology and computational drug design approaches for the efficient identification and optimization of lead compounds. Chemical biology is mostly involved in the elucidation of the biological function of a target and the mechanism of action of a chemical modulator. On the other hand, computer-aided drug design makes use of the structural knowledge of either the target (structure-based) or known ligands with bioactivity (ligand-based) to facilitate the determination of promising candidate drugs. Various virtual screening techniques are now being used by both pharmaceutical companies and academic research groups to reduce the cost and time required for the discovery of a potent drug. Despite the rapid advances in these methods, continuous improvements are critical for future drug discovery tools. Advantages presented by structure-based and ligand-based drug design suggest that their complementary use, as well as their integration with experimental routines, has a powerful impact on rational drug design. In this article, we give an overview of the current computational drug design and their application in integrated rational drug development to aid in the progress of drug discovery research.

Entities:  

Keywords:  Computer-aided drug design; Pharmacophore; QSAR; Virtual screening

Mesh:

Substances:

Year:  2015        PMID: 26208641     DOI: 10.1007/s12272-015-0640-5

Source DB:  PubMed          Journal:  Arch Pharm Res        ISSN: 0253-6269            Impact factor:   4.946


  77 in total

1.  An NMR strategy to detect conformational differences in a protein complexed with highly analogous inhibitors in solution.

Authors:  John D Persons; Shahid N Khan; Rieko Ishima
Journal:  Methods       Date:  2018-04-12       Impact factor: 3.608

2.  A computational approach yields selective inhibitors of human excitatory amino acid transporter 2 (EAAT2).

Authors:  Kelly L Damm-Ganamet; Marie-Laure Rives; Alan D Wickenden; Heather M McAllister; Taraneh Mirzadegan
Journal:  J Biol Chem       Date:  2020-02-20       Impact factor: 5.157

3.  The role of human in the loop: lessons from D3R challenge 4.

Authors:  Oleg V Stroganov; Fedor N Novikov; Michael G Medvedev; Artem O Dmitrienko; Igor Gerasimov; Igor V Svitanko; Ghermes G Chilov
Journal:  J Comput Aided Mol Des       Date:  2020-01-21       Impact factor: 3.686

4.  D3R Grand Challenge 3: blind prediction of protein-ligand poses and affinity rankings.

Authors:  Zied Gaieb; Conor D Parks; Michael Chiu; Huanwang Yang; Chenghua Shao; W Patrick Walters; Millard H Lambert; Neysa Nevins; Scott D Bembenek; Michael K Ameriks; Tara Mirzadegan; Stephen K Burley; Rommie E Amaro; Michael K Gilson
Journal:  J Comput Aided Mol Des       Date:  2019-01-10       Impact factor: 3.686

5.  D3R grand challenge 4: blind prediction of protein-ligand poses, affinity rankings, and relative binding free energies.

Authors:  Conor D Parks; Zied Gaieb; Michael Chiu; Huanwang Yang; Chenghua Shao; W Patrick Walters; Johanna M Jansen; Georgia McGaughey; Richard A Lewis; Scott D Bembenek; Michael K Ameriks; Tara Mirzadegan; Stephen K Burley; Rommie E Amaro; Michael K Gilson
Journal:  J Comput Aided Mol Des       Date:  2020-01-23       Impact factor: 3.686

Review 6.  Targeting Muscarinic Acetylcholine Receptors for the Treatment of Psychiatric and Neurological Disorders.

Authors:  Sean P Moran; James Maksymetz; P Jeffrey Conn
Journal:  Trends Pharmacol Sci       Date:  2019-11-08       Impact factor: 14.819

7.  Demonstration of AutoDock as an Educational Tool for Drug Discovery.

Authors:  Travis R Helgren; Timothy J Hagen
Journal:  J Chem Educ       Date:  2017-02-13       Impact factor: 2.979

8.  Multi-Functional Diarylurea Small Molecule Inhibitors of TRPV1 with Therapeutic Potential for Neuroinflammation.

Authors:  Zhiwei Feng; Larry V Pearce; Yu Zhang; Changrui Xing; Brienna K A Herold; Shifan Ma; Ziheng Hu; Noe A Turcios; Peng Yang; Qin Tong; Anna K McCall; Peter M Blumberg; Xiang-Qun Xie
Journal:  AAPS J       Date:  2016-03-21       Impact factor: 4.009

Review 9.  New tricks for human farnesyltransferase inhibitor: cancer and beyond.

Authors:  Jingyuan Wang; Xue Yao; Jin Huang
Journal:  Medchemcomm       Date:  2017-02-16       Impact factor: 3.597

10.  A computer-aided approach to identify novel Leishmania major protein disulfide isomerase inhibitors for treatment of leishmaniasis.

Authors:  Noureddine Ben Khalaf; Susie Pham; Giuseppe Romeo; Sara Abdelghany; Sebastiano Intagliata; Peter Sedillo; Loredana Salerno; Jessica Gonzales; Dahmani M Fathallah; Douglas J Perkins; Ivy Hurwitz; Valeria Pittalà
Journal:  J Comput Aided Mol Des       Date:  2021-02-22       Impact factor: 3.686

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