首页|Research Conducted at Department of Medicinal Chemistry Has Updated Our Knowledge about Artificial Intelligence (Revolutionizing Synthetic Antibody Design: Harnessing Artificial Intelligence and Deep Sequencing Big Data for Unprecedented ...)
Research Conducted at Department of Medicinal Chemistry Has Updated Our Knowledge about Artificial Intelligence (Revolutionizing Synthetic Antibody Design: Harnessing Artificial Intelligence and Deep Sequencing Big Data for Unprecedented ...)
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A new study on Artificial Intelligence is now available. According to news reporting originating from Toronto, Canada, by NewsRx editors, the research stated, "Synthetic antibodies (Abs) represent a category of engineered proteins meticulously crafted to replicate the functions of their natural counterparts. Such Abs are generated in vitro, enabling advanced molecular alterations associated with antigen recognition, paratope site engineering, and biochemical refinements." Financial support for this research came from RevivAb. Our news editors obtained a quote from the research from the Department of Medicinal Chemistry, "In a parallel realm, deep sequencing has brought about a paradigm shift in molecular biology. It facilitates the prompt and cost-effective high-throughput sequencing of DNA and RNA molecules, enabling the comprehensive big data analysis of Ab transcriptomes, including specific regions of interest. Significantly, the integration of artificial intelligence (AI), based on machine- and deep- learning approaches, has fundamentally transformed our capacity to discern patterns hidden within deep sequencing big data, including distinctive Ab features and protein folding free energy landscapes. Ultimately, current AI advances can generate approximations of the most stable Ab structural configurations, enabling the prediction of de novo synthetic Abs. As a result, this manuscript comprehensively examines the latest and relevant literature concerning the intersection of deep sequencing big data and AI methodologies for the design and development of synthetic Abs."
TorontoCanadaNorth and Central AmericaAntibodiesArtificial IntelligenceBlood ProteinsEmerging TechnologiesEngineeringImmunoglobulinsImmunologyMachine LearningProteinsDepartment of Medicinal Chemistry
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Springer Nature
