Oct 25, 2021 · In this work, we predict all of these four backbone angles using HMM profiles besides other informative features within a fully connected neural network (FCNN).
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Hidden Markov Models (HMM) are a widely used method to extract underlying patterns from given data. HMM profiles of proteins have been used in existing DNN ...
Hidden Markov Models (HMM) are a widely used method to extract underlying patterns from given data. HMM profiles of proteins have been used in existing DNN ...
Nov 10, 2020 · We present a deep learning method named Simpler Angle Predictor (SAP) to train simpler DNN models that enhance protein backbone angle prediction.
Improving Protein Backbone Angle Prediction Using Hidden Markov Models in Deep Learning ... angle prediction by using simpler models of deep neural networks ...
Our goal is to construct a new Hidden Markov Model to encode the compatibility between protein sequence and structure, and capture their complex relationships.
Oct 22, 2024 · Motivation Protein backbone angle prediction has achieved significant accuracy improvement with the development of deep learning methods.
Prediction of protein backbone torsion angles (Psi and Phi) can provide important information for protein structure prediction and sequence alignment.
Oct 18, 2024 · In this article, we introduce a novel lightweight method, named dilated convolution and multi-head attention (DCMA), that predicts protein backbone torsion ...
May 13, 2021 · To minimize possible over-fitting, we separated 100 proteins from the training set and compared their Hidden Markov Models generated by HHblits ...