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 …
I-TASSER-MTD: a deep-learning-based platform for multi-domain protein structure and function prediction
Most proteins in cells are composed of multiple folding units (or domains) to perform
complex functions in a cooperative manner. Relative to the rapid progress in single-domain …
complex functions in a cooperative manner. Relative to the rapid progress in single-domain …
Evolutionary-scale prediction of atomic-level protein structure with a language model
Recent advances in machine learning have leveraged evolutionary information in multiple
sequence alignments to predict protein structure. We demonstrate direct inference of full …
sequence alignments to predict protein structure. We demonstrate direct inference of full …
[HTML][HTML] Highly accurate protein structure prediction with AlphaFold
Proteins are essential to life, and understanding their structure can facilitate a mechanistic
understanding of their function. Through an enormous experimental effort 1, 2, 3, 4, the …
understanding of their function. Through an enormous experimental effort 1, 2, 3, 4, the …
Highly accurate protein structure prediction for the human proteome
Protein structures can provide invaluable information, both for reasoning about biological
processes and for enabling interventions such as structure-based drug development or …
processes and for enabling interventions such as structure-based drug development or …
Accurate prediction of protein structures and interactions using a three-track neural network
DeepMind presented notably accurate predictions at the recent 14th Critical Assessment of
Structure Prediction (CASP14) conference. We explored network architectures that …
Structure Prediction (CASP14) conference. We explored network architectures that …
Accurate structure prediction of biomolecular interactions with AlphaFold 3
The introduction of AlphaFold 21 has spurred a revolution in modelling the structure of
proteins and their interactions, enabling a huge range of applications in protein modelling …
proteins and their interactions, enabling a huge range of applications in protein modelling …
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 …
[PDF][PDF] Language models of protein sequences at the scale of evolution enable accurate structure prediction
Large language models have recently been shown to develop emergent capabilities with
scale, going beyond simple pattern matching to perform higher level reasoning and …
scale, going beyond simple pattern matching to perform higher level reasoning and …
Improved prediction of protein-protein interactions using AlphaFold2
Predicting the structure of interacting protein chains is a fundamental step towards
understanding protein function. Unfortunately, no computational method can produce …
understanding protein function. Unfortunately, no computational method can produce …