Papers Protein Interface Prediction
“Protein Interface Prediction” 태그가 달린 논문 7편 · 필터 해제
Integration of Pre-trained Protein Language Models into Geometric Deep Learning Networks
Geometric deep learning has recently achieved great success in non-Euclidean domains, and learning on 3D structures of large biomolecules is emerging as a distinct research area. However, its efficacy is largely constrai…
Protein Interface PredictionRepresentation LearningDIPS-Plus: The Enhanced Database of Interacting Protein Structures for Interface Prediction
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 (P…
Drug DiscoveryProtein Interface PredictionDeep Learning of High-Order Interactions for Protein Interface Prediction
Protein interactions are important in a broad range of biological processes. Traditionally, computational methods have been developed to automatically predict protein interface from hand-crafted features. Recent approach…
Deep LearningPredictionProtein Interface PredictionVocal Bursts Intensity PredictionA Multiscale Graph Convolutional Network Using Hierarchical Clustering
The information contained in hierarchical topology, intrinsic to many networks, is currently underutilised. A novel architecture is explored which exploits this information through a multiscale decomposition. A dendrogra…
ClusteringMolecular Property PredictionPredictionProperty Prediction+1Transferrable End-to-End Learning for Protein Interface Prediction
While there has been an explosion in the number of experimentally determined, atomically detailed structures of proteins, how to represent these structures in a machine learning context remains an open research question.…
Protein Interface PredictionTransfer LearningEnd-to-End Learning on 3D Protein Structure for Interface Prediction
Despite an explosion in the number of experimentally determined, atomically detailed structures of biomolecules, many critical tasks in structural biology remain data-limited. Whether performance in such tasks can be imp…
Open-Ended Question AnsweringProtein Interface PredictionTransfer LearningProtein Interface Prediction using Graph Convolutional Networks
We consider the prediction of interfaces between proteins, a challenging problem with important applications in drug discovery and design, and examine the performance of existing and newly proposed spatial graph convolut…
Drug DiscoveryPredictionProtein Interface Prediction