University of Queensland Reports Findings in Machine Learning (EFG-CS: Predictin g chemical shifts from amino acid sequences with protein structure prediction us ing machine learning and deep learning models)
University of Queensland Reports Findings in Machine Learning (EFG-CS: Predictin g chemical shifts from amino acid sequences with protein structure prediction us ing machine learning and deep learning models)
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Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating from Brisbane, Au stralia, by NewsRx correspondents, research stated, “Nuclearmagnetic resonance (NMR) crystallography is one of the main methods in structural biology for analy zingprotein stereochemistry and structure. The chemical shift of the resonance frequency reflects the effect ofthe protons in a molecule producing distinct NM R signals in different chemical environments.”
Key words
Brisbane/Australia/Australia and New Z ealand/Amino Acids/Computers/Cyborgs/Diagnostics and Screening/Emerging Tec hnologies/Health and Medicine/Machine Learning/Nuclear Magnetic Resonance/Pe ptides/Protein Structure/Protein Structure Prediction/Proteins/Proteomics/S oftware/Web Server
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