Open AccessMolecular modelling and evaluation of antihyperthyroid drug compound
Author(s) -
Abbareddy Srikanth,
T Shivakmar,
Shankar Sheshu R,
Selva Kumar S
Publication year - 2019
Publication title -
international journal of reviews in life sciences
Language(s) - English
Resource type - Journals
ISSN - 2231-2935
DOI - 10.26452/ijrls.v9i4.1350
Subject(s) - novelty , drug , drug discovery , function (biology) , computational biology , computer science , biochemical engineering , risk analysis (engineering) , pharmacology , data science , medicine , combinatorial chemistry , chemistry , psychology , biology , bioinformatics , engineering , social psychology , evolutionary biology
Drug targeting will play an essential function in drug discovery in the coming years, as the amount of structural records on protein targets keeps to rise. However, the conventional technique of drug discovery, primarily based upon random screening and systematic amendment of leads through medicinal chemistry strategies, will probably no longer to be deserted absolutely because it has doubtlessly vital advantages over shape-based strategies-specifically leads diagnosed in this way are unlikely to show a near resemblance to the herbal Ligand or substrate. They might also have gained in terms of patent novelty and selectivity. Such leads could then function the basis of structure-based totally, rational amendment programs, wherein their interactions with target receptors are described and improved molecules are designed. In the present study, an attempt is made to find suitable and better analogues of drugs used in the treatment of hyperthyroidism.