Читать книгу Computation in BioInformatics - Группа авторов - Страница 30

Vivek Chavda1, Yogita Thalkari2* and Swati Marwadi3

¹ Formulation and Protein Characterization Lab, Dr. Reddys Laboratory, Hyderabad, India

² Analytical Research and Development Lab, Lupin Research Park, Pune, India

³ Formulation and Protein Characterization Lab, Lupin Research Park, Pune, India

Abstract

The procedure involved in drug discovery is intricate, tedious, and cost incurring and requires multi-disciplinary expertize and inventive methodologies. Computational drug discovery process is a successful technique for quickening and streamlining drug disclosure and improvement process. Due to substantial increment in the accessibility of natural macromolecule and little atom data, the materialness of computational drug discovery has been stretched out and comprehensively applied to about each phase of the drug discovery and further advancement work process, including objective recognizable proof and approval, lead revelation and improvement, and preclinical tests. Over the previous decades, computational medication disclosure strategies, for example, atomic docking, pharmacophore displaying and mapping, again plan, sub-atomic likeness figuring, and succession-based virtual screening, have been extraordinarily improved. In this section, we present a review of these significant computational strategies, stages, and effective applications in this field.

Keywords: Drug discovery, computational methodologies, high throughput screening, virtual screening, OMICS technology, etc.