greenelab / deep-review

A collaboratively written review paper on deep learning, genomics, and precision medicine
https://greenelab.github.io/deep-review/
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High-order neural networks and kernel methods for peptide-MHC binding prediction #585

Closed zietzm closed 6 years ago

zietzm commented 7 years ago

https://doi.org/10.1093/bioinformatics/btv371

Motivation: Effective computational methods for peptide-protein binding prediction can greatly help clinical peptide vaccine search and design. However, previous computational methods fail to capture key nonlinear high-order dependencies between different amino acid positions. As a result, they often produce low-quality rankings of strong binding peptides. To solve this problem, we propose nonlinear high-order machine learning methods including high-order neural networks (HONNs) with possible deep extensions and high-order kernel support vector machines to predict major histocompatibility complex-peptide binding. Results: The proposed high-order methods improve quality of binding predictions over other prediction methods. With the proposed methods, a significant gain of up to 25–40% is observed on the benchmark and reference peptide datasets and tasks. In addition, for the first time, our experiments show that pre-training with high-order semi-restricted Boltzmann machines significantly improves the performance of feed-forward HONNs. Moreover, our experiments show that the proposed shallow HONN outperform the popular pre-trained deep neural network on most tasks, which demonstrates the effectiveness of modelling high-order feature interactions for predicting major histocompatibility complex-peptide binding.

The authors applied both a DNN and a HONN in order to compare the two. See image below.

As it relates to PPI:

In this article, we propose novel machine learning methods to study a specific type of peptide-protein interaction, i.e. the interaction between peptides and major histocompatibility complex class I (MHC I) proteins, although our methods can be readily applicable to other types of peptide-protein interactions.

agitter commented 7 years ago

This seems like a popular topic. We have a few related papers logged, but I believe only one of them was cited in the first draft of the review.

agitter commented 6 years ago

Added in the MHC-peptide binding section