HIGHLIGHTS
- who: . et al. from the School of Information and Communication Technology, Griffith University, Australia have published the research work: Constraint Guided Neighbour Generation for Protein Structure Prediction, in the Journal: (JOURNAL)
- what: The authors develop conformational search methods for PSP based on scoring functions involving geometric constraints learnt by deep learning models. The authors propose new approach to analyse geometric constraint-based scores to identify the regions of the current conformations causing inferior scores and to alter the identified regions to generate neighbour conformations. The authors evaluate the constraint guided neighbour generation approach within a . . .
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