Deep learning for protein secondary structure prediction: Pre and
Por um escritor misterioso
Descrição
Frontiers TMPSS: A Deep Learning-Based Predictor for Secondary Structure and Topology Structure Prediction of Alpha-Helical Transmembrane Proteins
Paper: DeepPrime2Sec: Deep Learning for Protein Secondary Structure Prediction from the Primary Sequences - Asgari et al. 2019 - Machine Learning Applied
Explainable Deep Hypergraph Learning Modeling the Peptide Secondary Structure Prediction - Jiang - 2023 - Advanced Science - Wiley Online Library
AlphaFold - Wikipedia
Collectively encoding protein properties enriches protein language models, BMC Bioinformatics
Fast and Accurate Prediction of Intrinsically Disordered Protein by Protein Language Model
Blog
Flowchart of the two-stage secondary structure prediction algorithm.
GitHub - amckenna41/DCBLSTM_PSP: Secondary Protein Structure Prediction using Neural Networks and Deep Learning .
EDLMFC: an ensemble deep learning framework with multi-scale features combination for ncRNA–protein interaction prediction, BMC Bioinformatics
End-to-End Deep Learning Model to Predict and Design Secondary Structure Content of Structural Proteins
Frontiers A New Method of RNA Secondary Structure Prediction Based on Convolutional Neural Network and Dynamic Programming
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