Overview
Insilico protein structure prediction is the computational modeling of protein structures. It is an important tool for understanding the structure-function relationships of proteins and can be used to determine possible treatments for diseases caused by misfolded, mutated, or otherwise aberrant proteins. It can also be used to design novel proteins with desired properties, such as improved drug delivery or improved sensitivity to certain chemical signals. The relevance of Insilico protein structure prediction lies in its ability to accelerate and facilitate the process of drug discovery, innovating new therapies for human diseases.
Research published in this journal
No peer-reviewed research on this exact topic has been published in In-vitro In-vivo In-silico Journal yet. Browse the journal →