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Protein Interface Prediction
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How and where proteins interface with one another can ultimately impact the proteins' functions along with a range of other biological processes. As such, precise computational methods for protein interface prediction (PIP) come highly sought after as they could yield significant advances in drug discovery and design as well as protein function analysis.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
DIPS-Plus: The Enhanced Database of Interacting Protein Structures for Interface Prediction
Deep Learning of High-Order Interactions for Protein Interface Prediction
A Multiscale Graph Convolutional Network Using Hierarchical Clustering
End-to-End Learning on 3D Protein Structure for Interface Prediction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.