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[HTML][HTML] Deep learning methods in protein structure prediction
Abstract Protein Structure Prediction is a central topic in Structural Bioinformatics. Since
the'60s statistical methods, followed by increasingly complex Machine Learning and recently …
the'60s statistical methods, followed by increasingly complex Machine Learning and recently …
Toward the solution of the protein structure prediction problem
Since Anfinsen demonstrated that the information encoded in a protein's amino acid
sequence determines its structure in 1973, solving the protein structure prediction problem …
sequence determines its structure in 1973, solving the protein structure prediction problem …
Predicting protein residue–residue contacts using deep networks and boosting
Motivation: Protein residue–residue contacts continue to play a larger and larger role in
protein tertiary structure modeling and evaluation. Yet, while the importance of contact …
protein tertiary structure modeling and evaluation. Yet, while the importance of contact …
Generating tertiary protein structures via interpretable graph variational autoencoders
Motivation Modeling the structural plasticity of protein molecules remains challenging. Most
research has focused on obtaining one biologically active structure. This includes the recent …
research has focused on obtaining one biologically active structure. This includes the recent …
Artificial intelligence for template-free protein structure prediction: a comprehensive review
Protein structure prediction (PSP) is a grand challenge in bioinformatics, drug discovery, and
related fields. PSP is computationally challenging because of an astronomically large …
related fields. PSP is computationally challenging because of an astronomically large …
A roadmap for big model
With the rapid development of deep learning, training Big Models (BMs) for multiple
downstream tasks becomes a popular paradigm. Researchers have achieved various …
downstream tasks becomes a popular paradigm. Researchers have achieved various …
Toward an accurate prediction of inter-residue distances in proteins using 2D recursive neural networks
Background Protein inter-residue contact maps provide a translation and rotation invariant
topological representation of a protein. They can be used as an intermediary step in protein …
topological representation of a protein. They can be used as an intermediary step in protein …
Assessment of domain boundary predictions and the prediction of intramolecular contacts in CASP8
This article details the assessment process and evaluation results for two categories in the
8th Critical Assessment of Protein Structure Prediction experiment (CASP8). The domain …
8th Critical Assessment of Protein Structure Prediction experiment (CASP8). The domain …
DeepCDpred: Inter-residue distance and contact prediction for improved prediction of protein structure
Rapid, accurate prediction of protein structure from amino acid sequence would accelerate
fields as diverse as drug discovery, synthetic biology and disease diagnosis. Massively …
fields as diverse as drug discovery, synthetic biology and disease diagnosis. Massively …
[HTML][HTML] Recent applications of deep learning methods on evolution-and contact-based protein structure prediction
The new advances in deep learning methods have influenced many aspects of scientific
research, including the study of the protein system. The prediction of proteins' 3D structural …
research, including the study of the protein system. The prediction of proteins' 3D structural …