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VSEPRnet: Physical structure encoding of sequence-based biomolecules for functionality prediction: Case study with peptides

2019-05-31

Abstract excerpt

Predicting structure-dependent functionalities of biomolecules is crucial for accelerating a wide variety of applications in drug-screening, biosensing, disease-diagnosis, and therapy. Although the commonly used structural “fingerprints” work for biomolecules in traditional informatics implementations, they remain impractical in a wide range of machine learning approaches where the model is restricted to make data...

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Literature Corpus work
d46c6cd9-7b40-54eb-8405-bec28981b894
DOI
10.1101/656033
Open publication

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VSEPRnet: Physical structure encoding of sequence-based biomolecules for functionality prediction: Case study with peptidesDOI 10.1101/656033
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