rosettafold | RoseTTAFold: Accurate protein structure prediction acces

Keyword	CPC	PCC	Volume	Score	Length of keyword
rosettafold	1.09	0.5	7496	19	11

Keyword	CPC	PCC	Volume	Score
rosettafold	0.13	0.9	6066	79
rosettafoldna	0.6	0.7	9748	3
rosettafold all-atom	1.36	0.3	35	13
rosettafold2	0.23	0.6	3001	18
rosettafold2na	1.15	0.4	1978	25
rosettafold aa	1.63	0.8	3126	31
rosettafold diffusion	1.95	0.1	5868	76
rosettafold server	0.59	1	9911	45
rosettafold github	0.99	0.8	4857	37
rosettafold download	0.93	0.5	8128	78
rosettafold paper	0.05	0.9	1287	49
rosettafold science	1.39	0.9	35	71
rosettafold all-atom github	0.01	0.2	3739	79

Search Results related to rosettafold on Search Engine

RoseTTAFold: Accurate protein structure prediction accessible to all
uw.edu

https://www.ipd.uw.edu/2021/07/rosettafold-accurate-protein-structure-prediction-accessible-to-all/

WEBJul 15, 2021 · RoseTTAFold is a “three-track” neural network, meaning it simultaneously considers patterns in protein sequences, how a protein’s amino acids interact with one another, and a protein’s possible three-dimensional structure.

DA: 32 PA: 79 MOZ Rank: 92

Baker Lab – UW Institute for Protein Design
bakerlab.org

https://robetta.bakerlab.org/

WEBMar 15, 2024 · Robetta is a protein structure prediction service that is continually evaluated through CAMEO. Features include relatively fast and accurate deep learning based methods, RoseTTAFold and TrRosetta, and an interactive submission interface that allows custom sequence alignments for homology modeling, …

DA: 53 PA: 70 MOZ Rank: 19

Accurate prediction of protein structures and interactions ... - Science
science.org

https://www.science.org/doi/10.1126/science.abj8754

WEBRoseTTAFold enables solutions of challenging x-ray crystallography and cryo-EM modeling problems, provides insight into protein function in the absence of experimentally determined structures, and rapidly generates accurate models of protein-protein complexes.

DA: 94 PA: 51 MOZ Rank: 28

Accurate protein structure prediction accessible to all
bakerlab.org

https://www.bakerlab.org/2021/07/15/accurate-protein-structure-prediction-accessible/

WEBJul 15, 2021 · Accurate protein structure prediction accessible to all. July 15, 2021. |. Publications. Today we report the development and initial applications of RoseTTAFold, a software tool that uses deep learning to quickly and accurately predict protein structures based on limited information.

DA: 15 PA: 98 MOZ Rank: 1

GitHub - RosettaCommons/RoseTTAFold: This package contains …
github.com

https://github.com/RosettaCommons/RoseTTAFold

WEBRoseTTAFold. This package contains deep learning models and related scripts to run RoseTTAFold. This repository is the official implementation of RoseTTAFold: Accurate prediction of protein structures and interactions using a 3-track network. Installation. Clone the package. git clone https://github.com/RosettaCommons/RoseTTAFold.git.

DA: 74 PA: 2 MOZ Rank: 69

Accurate prediction of protein–nucleic acid complexes using
nature.com

https://www.nature.com/articles/s41592-023-02086-5

WEBNov 23, 2023 · Both AlphaFold and RoseTTAFold can generate accurate models of not only protein monomers but also protein complexes, modeling folding and binding by successive transformations over hundreds of ...

DA: 48 PA: 80 MOZ Rank: 85

Introducing All-Atom versions of RoseTTAFold and RFdiffusion
uw.edu

https://www.ipd.uw.edu/2023/10/introducing-rosettafold-and-rfdiffusion-all-atom/

WEBThe new upgrades now allow RoseTTAFold All-Atom to model full biological assemblies that contain many different types of molecules, including proteins, DNA, RNA, small molecules, metals, and other bonded atoms, including covalent modifications of proteins.

DA: 59 PA: 92 MOZ Rank: 9

Diffusion model expands RoseTTAFold’s power - Nature
nature.com

https://www.nature.com/articles/s41587-023-01919-0

WEBPublished: 11 August 2023. Protein engineering. Diffusion model expands RoseTTAFold’s power. Jared B. Fudge. Nature Biotechnology 41 , 1072 ( 2023) Cite this article. 2359 Accesses. 4...

DA: 43 PA: 15 MOZ Rank: 2

PROTEIN FOLDING Accurate prediction of protein structures …
science.org

https://www.science.org/doi/epdf/10.1126/science.abj8754

WEBAug 20, 2021 · Predictions with the two-track model and RoseTTAFold (both end-to-end and pyRosetta version) were completely automated. (C) Blind benchmark results on CAMEO medium and hard targets; model accuracies are TM-score values from the CAMEO website (https://cameo3d.org/).

DA: 53 PA: 43 MOZ Rank: 37

De novo design of protein structure and function with RFdiffusion
nature.com

https://www.nature.com/articles/s41586-023-06415-8

WEBJul 11, 2023 · Nature - Fine-tuning the RoseTTAFold structure prediction network on protein structure denoising tasks yields a generative model for protein design that achieves outstanding performance on a wide...

DA: 48 PA: 48 MOZ Rank: 24