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RoseTTAFold Alternatives
Similar projects and alternatives to RoseTTAFold
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better RoseTTAFold alternative or higher similarity.
RoseTTAFold reviews and mentions
Posts with mentions or reviews of RoseTTAFold.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-11-26.
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Paired MSAs
so far the options are: - https://github.com/RosettaCommons/RoseTTAFold/tree/main/example/complex_modeling : look for make_joint_MSA_bacterial.py. For eukaryotes you're out of luck. - https://zhanggroup.org/cpxDeepMSA/ haven't tested it yet. waiting for results. - if you already have MSAs for individual proteins you can try to map some with taxidID (if they have it provided in the Uniref header). Still looking for some more elaborate methods using phylogeny.
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Scaffolding protein functional sites using deep learning [pdf]
Code for RoseTTAFold: Accurate prediction of protein structures and interactions using a 3-track network
https://github.com/RosettaCommons/RoseTTAFold
- Meta Unveils New AI Supercomputer
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roseTTA fold trimer prediction
In the science article, they use it to predict theoretical structures of heterotrimers (https://www.science.org/doi/10.1126/science.abj8754) , however upon looking in their github (https://github.com/RosettaCommons/RoseTTAFold) they only seem to have prodcedure for predicting complexes of heterodimers. I've successfully done the procedure to predict heterodimers of proteins of interest to our lab, but cannot figure out how to predict trimers from the github
- Deep-learning algorithms can now predict a protein’s 3D shape from its linear sequence — a huge boon to structural biologists
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Putting the power of AlphaFold into the world’s hands
Baker Lab (https://www.bakerlab.org/) is cutting edge in that area and also has a protein prediction open source package (https://github.com/RosettaCommons/RoseTTAFold)
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Structure prediction discussion (AlphaFold2, RoseTTAfold)
RoseTTAfold paper , GitHub
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AlphaFold 2 open-sourced by DeepMind
and RoseTTAFold is here: https://github.com/RosettaCommons/RoseTTAFold
- DeepMind's AlphaFold is now Open Source
- RoseTTAFold: Accurate prediction of protein structures and interactions
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A note from our sponsor - SaaSHub
www.saashub.com | 4 May 2024
Stats
Basic RoseTTAFold repo stats
10
1,930
0.0
3 months ago
RosettaCommons/RoseTTAFold is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of RoseTTAFold is Python.
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