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Recent Updates on Computer-aided Drug Discovery: Time for a Paradigm Shift.
Usha, Talambedu; Shanmugarajan, Dhivya; Goyal, Arvind Kumar; Kumar, Chinaga Suresh; Middha, Sushil Kumar.
Afiliación
  • Usha T; Department of Biochemistry, Bangalore University, Bengaluru, Karnataka, India.
  • Shanmugarajan D; DBT-BIF facility, Department of Biotechnology, Science Research Centre, Maharani Lakshmi Ammanni, College for Women, Bengaluru, Karnataka, India.
  • Goyal AK; Centre for Bamboo Studies, Department of Biotechnology, Bodoland University, Kokrajhar, Assam, India.
  • Kumar CS; Barrix Agro Sciences Pvt. Ltd., Department of Chemistry, Bengaluru, Karnataka, India.
  • Middha SK; DBT-BIF facility, Department of Biotechnology, Science Research Centre, Maharani Lakshmi Ammanni, College for Women, Bengaluru, Karnataka, India.
Curr Top Med Chem ; 17(30): 3296-3307, 2017.
Article en En | MEDLINE | ID: mdl-29295698
ABSTRACT
Computer-Aided Drug Designing (CADD) has gained a wide popularity among biologists and chemists as a part of interdisciplinary drug discovery approach. It plays a vital role in the discovery, design and analysis of drugs in pharmaceutical industry. It is extensively used to reduce cost, time and speed up the early stage development of biologically new active molecules. In the current review we presented a brief review of CADD, merits and demerits, DNA, protein and enzyme as targets, types of CADD Structure Based Drug Designing (SBDD), Ligand Based Drug Designing (LBDD), Pharmacophore based drug designing (PBDD) and Fragment Based Drug Designing (FBDD), theory behind the types of CADD and their applications. The review also focuses on the in-silico pharmokinetic, pharmacodynamic and toxicity filters or predictions that play a major role in identifying the drug like molecules. Currently in pharmaceutical sciences computational tools and software are exhibiting imperative role in the different stages of drug discovery hence the review throws light on various commercial and freeware available for each step of CADD.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Diseño Asistido por Computadora / Descubrimiento de Drogas Límite: Animals / Humans Idioma: En Revista: Curr Top Med Chem Asunto de la revista: QUIMICA Año: 2017 Tipo del documento: Article País de afiliación: India

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Diseño Asistido por Computadora / Descubrimiento de Drogas Límite: Animals / Humans Idioma: En Revista: Curr Top Med Chem Asunto de la revista: QUIMICA Año: 2017 Tipo del documento: Article País de afiliación: India