Narrowing the gap between machine learning scoring functions and free energy perturbation using augmented data

Narrowing the gap between machine learning scoring functions and free energy perturbation using augmented data

Data Training sets PDBbind To train and validate our baseline AEV-PLIG model, and compare it to…

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AI in higher education: Sask. universities grapple with the future of learning

AI in higher education: Sask. universities grapple with the future of learning

KPMG International Limited, commonly known as KPMG, is a global professional services network and one of…

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The Three Phases of Learning Machine Learning

The Three Phases of Learning Machine Learning

After 6+ years of experience with machine learning, both in research and industry, it’s very interesting…

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Machine learning models for predicting interaction affinity energy between human serum proteins and hemodialysis membrane materials

Machine learning models for predicting interaction affinity energy between human serum proteins and hemodialysis membrane materials

Baseline data assessment The foundation of this study is anchored on a rigorously curated dataset, meticulously…

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Machine learning approach can enhance observatory’s hunt for gravitational waves

Machine learning approach can enhance observatory’s hunt for gravitational waves

Step-by-step workflow of our proposed pipeline. Each step is described in detail in the text of…

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Machine learning identifies new genes associated with ALS: Study

Machine learning identifies new genes associated with ALS: Study

A machine learning analysis of gene activity in spinal cord samples from people with amyotrophic lateral…

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