medical-6
Protein Interface Prediction
3260 papers • 126 benchmarks • 313 datasets
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.
(Image credit: Papersgraph)
Benchmarks
These leaderboards are used to track progress in protein-interface-prediction-12
Trend
Dataset
Best Model
Actions
No benchmarks available.
Libraries
iUse these libraries to find protein-interface-prediction-12 models and implementations
Datasets
No datasets available.
Subtasks
No subtasks available.
Most implemented papers
Protein Interface Prediction using Graph Convolutional Networks
Jonathon Byrd, Asa Ben-Hur, A. Fout, Basir Shariat•Sun Nov 12 2017
This work considers the prediction of interfaces between proteins, a challenging problem with important applications in drug discovery and design, and examines the performance of existing and newly proposed spatial graph convolution operators for this task.
829