[HTML][HTML] The trRosetta server for fast and accurate protein structure prediction
The trRosetta (transform-restrained Rosetta) server is a web-based platform for fast and
accurate protein structure prediction, powered by deep learning and Rosetta. With the input …
accurate protein structure prediction, powered by deep learning and Rosetta. With the input …
Single-sequence protein structure prediction using supervised transformer protein language models
Significant progress has been made in protein structure prediction in recent years. However,
it remains challenging for AlphaFold2 and other deep learning-based methods to predict …
it remains challenging for AlphaFold2 and other deep learning-based methods to predict …
GalaxyRefine2: simultaneous refinement of inaccurate local regions and overall protein structure
The 3D structure of a protein can be predicted from its amino acid sequence with high
accuracy for a large fraction of cases because of the availability of large quantities of …
accuracy for a large fraction of cases because of the availability of large quantities of …
Protein tertiary structure prediction and refinement using deep learning and Rosetta in CASP14
The trRosetta structure prediction method employs deep learning to generate predicted
residue‐residue distance and orientation distributions from which 3D models are built. We …
residue‐residue distance and orientation distributions from which 3D models are built. We …
Improved protein structure prediction using a new multi‐scale network and homologous templates
The accuracy of de novo protein structure prediction has been improved considerably in
recent years, mostly due to the introduction of deep learning techniques. In this work …
recent years, mostly due to the introduction of deep learning techniques. In this work …
LOMETS3: Integrating deep learning and profile alignment for advanced protein template recognition and function annotation
Deep learning techniques have significantly advanced the field of protein structure
prediction. LOMETS3 (https://zhanglab. ccmb. med. umich. edu/LOMETS/) is a new …
prediction. LOMETS3 (https://zhanglab. ccmb. med. umich. edu/LOMETS/) is a new …
Analysis of distance‐based protein structure prediction by deep learning in CASP13
This paper reports the CASP13 results of distance‐based contact prediction, threading, and
folding methods implemented in three RaptorX servers, which are built upon the powerful …
folding methods implemented in three RaptorX servers, which are built upon the powerful …
Improved protein structure prediction using predicted interresidue orientations
The prediction of interresidue contacts and distances from coevolutionary data using deep
learning has considerably advanced protein structure prediction. Here, we build on these …
learning has considerably advanced protein structure prediction. Here, we build on these …
2 : protein structure prediction server
Protein structure prediction provides valuable insights into function, and comparative
modeling is one of the most reliable methods to predict 3D structures directly from amino …
modeling is one of the most reliable methods to predict 3D structures directly from amino …
Single-sequence protein structure prediction using a language model and deep learning
R Chowdhury, N Bouatta, S Biswas, C Floristean… - Nature …, 2022 - nature.com
AlphaFold2 and related computational systems predict protein structure using deep learning
and co-evolutionary relationships encoded in multiple sequence alignments (MSAs) …
and co-evolutionary relationships encoded in multiple sequence alignments (MSAs) …