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ColabFold Alternatives
Similar projects and alternatives to ColabFold
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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.
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3DFI
The 3DFI pipeline predicts the 3D structure of proteins and searches for structural homology in the 3D space.
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af2complex
Predicting direct protein-protein interactions with AlphaFold deep learning neural network models.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better ColabFold alternative or higher similarity.
ColabFold reviews and mentions
Posts with mentions or reviews of ColabFold.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-05-06.
- Can I successfully model a small protein from scratch?
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JMol, Mol*3D, PyMol: Anyway to move two proteins relative to each other?
Thanks for the info. Any opinions on ColabFold?
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What is better right now? AlphaFold or RoseTTAFold?
I'm on the software & infrastructure side of things, so perhaps don't have the depth of the answer you're looking for, and would be happy to be corrected. But as far as I understand from the scientists on our team is that "it depends". Both can get results that are remarkably close to one another, but both can also disagree, so it's hard to say what's "better" - it depends on what you consider the ground truth for your experiments, and a number of other factors such as the length of the sequences you're working with. Both are able to predict structure from sequence, recover sequence from structure, as well as "hallucinate" structure and sequence, so it can be helpful to use both to validate your results and increase your confidence. I assume you've seen the ColabFold notebooks, so it should be easy to compare them against each other for your use case.
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Is there any software that can predict if two amino acid sequences would interact?
a word of warning, the requirements are pretty high, if the sequences are not too long try one of the notebooks: https://github.com/sokrypton/ColabFold
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Advice on Alpha Fold 2.0
In the ColabFold GitHub README there is a description of differences between ColabFold, DeepMind's version, and others. Apparently, the usage of templates and mmseqs2 was not available in the default DeepMind's implementation and was added in ColabFold. https://github.com/sokrypton/ColabFold
- I managed to get Googles deepmind Alphafold running. I modeled segment of DNA from M.Genitalia and also compared it to the much less accurate method of homology modeling that was used in days past.
- 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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Stats
Basic ColabFold repo stats
7
1,722
8.7
7 days ago
sokrypton/ColabFold is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of ColabFold is Jupyter Notebook.
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