Corpus ID: 235367799

DIPS-Plus: The Enhanced Database of Interacting Protein Structures for Interface Prediction

@article{Morehead2021DIPSPlusTE,
  title={DIPS-Plus: The Enhanced Database of Interacting Protein Structures for Interface Prediction},
  author={Alex Morehead and Chen Chen and Ada Sedova and Jianlin Cheng},
  journal={ArXiv},
  year={2021},
  volume={abs/2106.04362}
}
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. However, the traditional benchmark dataset for this task, Docking Benchmark 5 (DB5) [1], contains only a modest 230 complexes for training… Expand

Figures and Tables from this paper

Geometric Transformers for Protein Interface Contact Prediction
  • Alex Morehead, Chen Chen, Jianlin Cheng
  • Computer Science, Biology
  • ArXiv
  • 2021
TLDR
The Geometric Transformer, a novel geometryevolving graph transformer for rotation and translation-invariant protein interface contact prediction, packaged within DeepInteract, an end-to-end prediction pipeline, is presented, validating the effectiveness of the Geometrictransformer for learning rich relational-geometric features for downstream tasks on 3D protein structures. Expand

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