首页|Shenyang Pharmaceutical University Reports Findings in Bioinformatics (CSEL-BGC: A Bioinformatics Framework Integrating Machine Learning for Defining the Biosyn thetic Evolutionary Landscape of Uncharacterized Antibacterial Natural Products)
Shenyang Pharmaceutical University Reports Findings in Bioinformatics (CSEL-BGC: A Bioinformatics Framework Integrating Machine Learning for Defining the Biosyn thetic Evolutionary Landscape of Uncharacterized Antibacterial Natural Products)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Biotechnology - Bioinf ormatics is the subject of a report. According to news reporting out of Shenyang , People’s Republic of China, by NewsRx editors, research stated, “The sluggish pace of new antibacterial drug development reflects a vulnerability in the face of the current severe threat posed by bacterial resistance. Microbial natural pr oducts (NPs), as a reservoir of immense chemical potential, have emerged as the most promising avenue for the discovery of next generation antibacterial agent.” Our news journalists obtained a quote from the research from Shenyang Pharmaceut ical University, “Directly accessing the antibacterial activity of potential pro ducts derived from biosynthetic gene clusters (BGCs) would significantly expedit e the process. To tackle this issue, we propose a CSEL-BGC framework that integr ates machine learning (ML) techniques. This framework involves the development o f a novel cascade-stacking ensemble learning (CSEL) model and the establishment of a groundbreaking model evaluation system. Based on this framework, we predict 6,666 BGCs with antibacterial activity from 3,468 complete bacterial genomes an d elucidate a biosynthetic evolutionary landscape to reveal their antibacterial potential.”
ShenyangPeople’s Republic of ChinaAs iaAntibacterialsAntibioticsAntimicrobialsBioinformaticsBiotechnologyCyborgsDrugs and TherapiesEmerging TechnologiesHealth and MedicineInform ation TechnologyMachine Learning
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