首页|School of Information Science and Technology Reports Findings in HIV/AIDS (Machine learning-guided design of potent darunavir analogs targeting HIV-1 proteases: A computational approach for antiretroviral drug discovery)
School of Information Science and Technology Reports Findings in HIV/AIDS (Machine learning-guided design of potent darunavir analogs targeting HIV-1 proteases: A computational approach for antiretroviral drug discovery)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Immune System Diseases and Conditions - HIV/AIDS is the subjectof a report. According to news reporting from Rayong, Thailand, by NewsRx journalists, research stated,“In the pursuit of novel antiretroviral therapies for human immunodeficiency virus type-1 (HIV-1) proteases(PRs), recent improvements in drug discovery have embraced machine learning (ML) techniques to guidethe design process. This study employs ensemble learning models to identify crucial substructures assignificant features for drug development.”
RayongThailandAsiaAntiinfectivesAntiretroviralsAntiviralsCyborgsDarunavir TherapyDrugs and TherapiesEmerging TechnologiesEnzymes and CoenzymesHIV Protease InhibitorsHIV-1HIV/AIDSHealth and MedicineImmune System Diseases and C
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