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  Published Paper Details:

  Paper Title

A REVIEW ON MOLECULAR MODELING FOR DRUG DISCOVERY: SOFTWARE- BASED APPROACH

  Authors

  Aishwarya Chougule,  Gajanan Athawale,  Aarti Kamble

  Keywords

Drug discovery, Molecular modeling, Structural Activity Relationship (SAR), Software-based approach

  Abstract


To discover and develop new drugs by the traditional method, it requires more time and expensive process. Now a day, these issues are overcome by the use of computer software. There is different software available for molecular modeling and structural activity relationship. By using software the drug discovery process accelerates. The molecular modeling has become a valuable and essential tool in drug discovery but it has the main challenge is to determine structural and chemical information of drug target and ligand binding sites to invent new molecules that have high affinity, selectivity, bioavailability, and less toxicity. This review paper covers the molecular modeling, its application, different types of software such as Maestro, ArgusLab, GRAMM, SYBYL-X Suite, Sanjeevini, and PASS along with its uses.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2008362

  Paper ID - 198203

  Page Number(s) - 3140-3149

  Pubished in - Volume 8 | Issue 8 | August 2020

  DOI (Digital Object Identifier) -    http://doi.one/10.1729/Journal.24340

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Aishwarya Chougule,  Gajanan Athawale,  Aarti Kamble,   "A REVIEW ON MOLECULAR MODELING FOR DRUG DISCOVERY: SOFTWARE- BASED APPROACH", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 8, pp.3140-3149, August 2020, Available at :http://www.ijcrt.org/papers/IJCRT2008362.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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