The H-factor as a novel quality metric for homology modeling

摘要: Background: Drug discovery typically starts with the identification of a potential target that is then tested and validated either through high-throughput screening against library drug compounds or by rational design. When putative protein, latter approach requires knowledge its structure. Finding structure protein however difficult task. Significant progress has come from high-resolution techniques such as X-ray crystallography NMR; there are many proteins whose have not yet been solved. Computational for prediction viable alternatives to experimental these cases. However, proper validation structural models they generate remains an issue. Findings: In this report, we focus on homology modeling introduce H-factor, new indicator assessing quality generated techniques. The H-factor meant mimic R-factor used in crystallography. method computing fully described demonstration effectiveness test set proteins.