Robotics & Machine Learning Daily News2024,Issue(Oct.14) :77-78.

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)

Robotics & Machine Learning Daily News2024,Issue(Oct.14) :77-78.

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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Abstract

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.”

Key words

Shenyang/People’s Republic of China/As ia/Antibacterials/Antibiotics/Antimicrobials/Bioinformatics/Biotechnology/Cyborgs/Drugs and Therapies/Emerging Technologies/Health and Medicine/Inform ation Technology/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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