Literature DB >> 11677167

The impact of informatics and computational chemistry on synthesis and screening.

Charles J. Manly1, Shirley Louise-May, Jack D. Hammer.   

Abstract

High-throughput synthesis and screening technologies have enhanced the impact of computational chemistry on the drug discovery process. From the design of targeted, drug-like libraries to 'virtual' optimization of potency, selectivity and ADME/Tox properties, computational chemists are able to efficiently manage costly resources and dramatically shorten drug discovery cycle times. This review will describe some of the successful strategies and applications of state-of-the-art algorithms to enhance drug discovery, as well as key points in the drug discovery process where computational methods can have, and have had, greatest impact.

Entities:  

Year:  2001        PMID: 11677167     DOI: 10.1016/s1359-6446(01)01990-0

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  10 in total

Review 1.  Lowering industry firewalls: pre-competitive informatics initiatives in drug discovery.

Authors:  Michael R Barnes; Lee Harland; Steven M Foord; Matthew D Hall; Ian Dix; Scott Thomas; Bryn I Williams-Jones; Cory R Brouwer
Journal:  Nat Rev Drug Discov       Date:  2009-07-17       Impact factor: 84.694

2.  Molecular modelling and QSAR analysis of some structurally diverse N-type calcium channel blockers.

Authors:  Jignesh Mungalpara; Ashish Pandey; Vaibhav Jain; C Gopi Mohan
Journal:  J Mol Model       Date:  2009-10-04       Impact factor: 1.810

3.  Towards a new age of virtual ADME/TOX and multidimensional drug discovery.

Authors:  Sean Ekins; Bruno Boulanger; Peter W Swaan; Maggie A Z Hupcey
Journal:  J Comput Aided Mol Des       Date:  2002 May-Jun       Impact factor: 3.686

4.  Protein-ligand interaction prediction: an improved chemogenomics approach.

Authors:  Laurent Jacob; Jean-Philippe Vert
Journal:  Bioinformatics       Date:  2008-08-01       Impact factor: 6.937

Review 5.  Towards a new age of virtual ADME/TOX and multidimensional drug discovery.

Authors:  Sean Ekins; Bruno Boulanger; Peter W Swaan; Maggie A Z Hupcey
Journal:  Mol Divers       Date:  2002       Impact factor: 2.943

6.  Turbo prediction: a new approach for bioactivity prediction.

Authors:  Ammar Abdo; Maude Pupin
Journal:  J Comput Aided Mol Des       Date:  2022-01-21       Impact factor: 3.686

7.  A machine learning approach towards the prediction of protein-ligand binding affinity based on fundamental molecular properties.

Authors:  Indra Kundu; Goutam Paul; Raja Banerjee
Journal:  RSC Adv       Date:  2018-03-28       Impact factor: 4.036

8.  Theoretical calculations of molecular descriptors for anticancer activities of 1, 2, 3-triazole-pyrimidine derivatives against gastric cancer cell line (MGC-803): DFT, QSAR and docking approaches.

Authors:  Rhoda Oyeladun Oyewole; Abel Kolawole Oyebamiji; Banjo Semire
Journal:  Heliyon       Date:  2020-05-21

Review 9.  Virtual screening for the discovery of bioactive natural products.

Authors:  Judith M Rollinger; Hermann Stuppner; Thierry Langer
Journal:  Prog Drug Res       Date:  2008

Review 10.  The human rhinovirus: human-pathological impact, mechanisms of antirhinoviral agents, and strategies for their discovery.

Authors:  Judith M Rollinger; Michaela Schmidtke
Journal:  Med Res Rev       Date:  2011-01       Impact factor: 12.944

  10 in total

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