Dataset feature description The dataset used for this study is collected from the Engineering Corporation of…
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Crystallography-informed AI achieves high performance in predicting novel crystal structures
Non-iterative Crystal Structure Prediction with ShotgunCSP. Credit: The Institute of Statistical Mathematics A research team from…
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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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DPFunc: accurately predicting protein function via deep learning with domain-guided structure information
Overview of DPFunc DPFunc is a deep learning-based method for protein function prediction using domain-guided structure…
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Predicting emergence of crystals from amorphous precursors with deep learning potentials
De Yoreo, J. J. Casting a bright light on Ostwald’s rule of stages. Proc. Natl Acad.…
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Predicting synthetic mRNA stability using massively parallel kinetic measurements, biophysical modeling, and machine learning
Massively parallel design and construction of 5′ UTRs to vary mRNA decay rate We designed 62,120…
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