af2complex VS openfold

Compare af2complex vs openfold and see what are their differences.

af2complex

Predicting direct protein-protein interactions with AlphaFold deep learning neural network models. (by FreshAirTonight)

openfold

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2 (by aqlaboratory)
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af2complex openfold
1 5
125 2,407
- 1.9%
1.8 9.4
about 1 year ago 1 day ago
Python Python
- Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

af2complex

Posts with mentions or reviews of af2complex. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-06.

openfold

Posts with mentions or reviews of openfold. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-08.

What are some alternatives?

When comparing af2complex and openfold you can also consider the following projects:

ColabFold - Making Protein folding accessible to all!

FastFold - Optimizing AlphaFold Training and Inference on GPU Clusters

deepvariant - DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

ProteinStructurePrediction - Protein structure prediction is the task of predicting the 3-dimensional structure (shape) of a protein given its amino acid sequence and any available supporting information. In this section, we will Install and inspect sidechainnet, a dataset with tools for predicting and inspecting protein structures, complete two simplified implementations of Attention based Networks for predicting protein angles from amino acid sequences, and visualize our predictions along the way.

Invariant-Attention - An implementation of Invariant Point Attention from Alphafold 2

tape - Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

awesome-protein-design - A curated list of awesome protein design research, software and resources.

Senpwai - A desktop app for tracking and batch downloading anime

Biopython - Official git repository for Biopython (originally converted from CVS)