[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 …
Deep learning in protein structural modeling and design
Deep learning is catalyzing a scientific revolution fueled by big data, accessible toolkits, and
powerful computational resources, impacting many fields, including protein structural …
powerful computational resources, impacting many fields, including protein structural …
Improved protein structure prediction using potentials from deep learning
Protein structure prediction can be used to determine the three-dimensional shape of a
protein from its amino acid sequence. This problem is of fundamental importance as the …
protein from its amino acid sequence. This problem is of fundamental importance as the …
Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences
In the field of artificial intelligence, a combination of scale in data and model capacity
enabled by unsupervised learning has led to major advances in representation learning and …
enabled by unsupervised learning has led to major advances in representation learning and …
Folding non-homologous proteins by coupling deep-learning contact maps with I-TASSER assembly simulations
Structure prediction for proteins lacking homologous templates in the Protein Data Bank
(PDB) remains a significant unsolved problem. We developed a protocol, CI-TASSER, to …
(PDB) remains a significant unsolved problem. We developed a protocol, CI-TASSER, to …
MSA transformer
Unsupervised protein language models trained across millions of diverse sequences learn
structure and function of proteins. Protein language models studied to date have been …
structure and function of proteins. Protein language models studied to date have been …
The PSIPRED protein analysis workbench: 20 years on
The PSIPRED Workbench is a web server offering a range of predictive methods to the
bioscience community for 20 years. Here, we present the work we have completed to update …
bioscience community for 20 years. Here, we present the work we have completed to update …
High-resolution de novo structure prediction from primary sequence
Recent breakthroughs have used deep learning to exploit evolutionary information in
multiple sequence alignments (MSAs) to accurately predict protein structures. However …
multiple sequence alignments (MSAs) to accurately predict protein structures. However …
Evaluating protein transfer learning with TAPE
Protein modeling is an increasingly popular area of machine learning research. Semi-
supervised learning has emerged as an important paradigm in protein modeling due to the …
supervised learning has emerged as an important paradigm in protein modeling due to the …
Accurate de novo prediction of protein contact map by ultra-deep learning model
Motivation Protein contacts contain key information for the understanding of protein structure
and function and thus, contact prediction from sequence is an important problem. Recently …
and function and thus, contact prediction from sequence is an important problem. Recently …