Computational analysis of sequential and structural variations in stromelysins as an insight towards matrix metalloproteinase research
Sign Up to like & getrecommendations! Published in 2018 at "Informatics in Medicine Unlocked"
DOI: 10.1016/j.imu.2017.12.003
Abstract: Abstract Matrix metalloproteinases are zinc-dependent protein and peptide hydrolases. They are broadly involved in metabolic regulation through both extensive protein degradation and selective peptide-bond hydrolysis. Stromelysins belong to this group of proteinases and involved in… read more here.
Keywords: structural variations; sequential structural; analysis; predicted models ... See more keywords
Systematic Selection of Age-Associated mRNA Markers and the Development of Predicted Models for Forensic Age Inference by Three Machine Learning Methods
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2022.924408
Abstract: Aging is usually accompanied by the decline of physiological function and dysfunction of cellular processes. Genetic markers related to aging not only reveal the biological mechanism of aging but also provide age information in forensic… read more here.
Keywords: age associated; machine learning; age; predicted models ... See more keywords