Literature DB >> 23647540

Open source software and web services for designing therapeutic molecules.

Deepak Singla1, Sandeep Kumar Dhanda, Jagat Singh Chauhan, Anshu Bhardwaj, Samir K Brahmachari, Gajendra P S Raghava.   

Abstract

Despite the tremendous progress in the field of drug designing, discovering a new drug molecule is still a challenging task. Drug discovery and development is a costly, time consuming and complex process that requires millions of dollar and 10-15 years to bring new drug molecules in the market. This huge investment and long-term process are attributed to high failure rate, complexity of the problem and strict regulatory rules, in addition to other factors. Given the availability of 'big' data with ever improving computing power, it is now possible to model systems which is expected to provide time and cost effectiveness to drug discovery process. Computer Aided Drug Designing (CADD) has emerged as a fast alternative method to bring down the cost involved in discovering a new drug. In past, numerous computer programs have been developed across the globe to assist the researchers working in the field of drug discovery. Broadly, these programs can be classified in three categories, freeware, shareware and commercial software. In this review, we have described freeware or open-source software that are commonly used for designing therapeutic molecules. Major emphasis will be on software and web services in the field of chemo- or pharmaco-informatics that includes in silico tools used for computing molecular descriptors, inhibitors designing against drug targets, building QSAR models, and ADMET properties.

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Year:  2013        PMID: 23647540     DOI: 10.2174/1568026611313100005

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


  3 in total

1.  Drug discovery research in India: current state and future prospects.

Authors:  Tanjore Balganesh; Tapas K Kundu; Tushar Kanti Chakraborty; Siddhartha Roy
Journal:  ACS Med Chem Lett       Date:  2014-05-23       Impact factor: 4.345

2.  Finding a Potential Dipeptidyl Peptidase-4 (DPP-4) Inhibitor for Type-2 Diabetes Treatment Based on Molecular Docking, Pharmacophore Generation, and Molecular Dynamics Simulation.

Authors:  Harika Meduru; Yeng-Tseng Wang; Jeffrey J P Tsai; Yu-Ching Chen
Journal:  Int J Mol Sci       Date:  2016-06-13       Impact factor: 5.923

3.  Clinical trials and healthcare needs in India: A difficult balancing act but opportunities abound!

Authors:  Sanish Davis
Journal:  Perspect Clin Res       Date:  2017 Oct-Dec
  3 in total

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