gwlilabmit / FragFoldLinks
Fragment binding prediction with ColabFold
☆41Updated 2 months ago
Alternatives and similar repositories for FragFold
Users that are interested in FragFold are comparing it to the libraries listed below
Sorting:
- Python tool for the discovery of similar 3D structural motifs across protein structures.☆35Updated 2 years ago
- A Memetic Algorithm boosts accuracy and speed of all-atom protein-protein docking☆29Updated 6 months ago
- Fast and accurate protein domain segmentation using Invariant Point Attention☆44Updated 7 months ago
- Metrics for our protein design competitions.☆35Updated last year
- Efficient manipulation of protein structures in Python☆61Updated 3 months ago
- Parametric Building of de novo Functional Topologies☆44Updated 3 years ago
- Template-based protein design with Raygun☆76Updated last month
- ☆72Updated 9 months ago
- Machine learning-driven antibody design☆63Updated 2 years ago
- Code for deep learning guided design of dynamic proteins☆31Updated last year
- ☆22Updated last month
- ☆27Updated 4 months ago
- AlphaLink2: Integrating crosslinking MS data into Uni-Fold-Multimer☆61Updated 4 months ago
- Graph Network for protein-protein interface including language model features☆34Updated last year
- Python package to atom map, correct and suggest enzymatic reactions☆41Updated last year
- An antibody-specific language model focusing on NGL prediction☆34Updated last year
- code for SeqDance/ESMDance, biophysics-informed protein language models☆41Updated 9 months ago
- ☆55Updated 5 months ago
- Tools for annotation, processing and ML for antibody sequences☆37Updated this week
- Humanness of de-novo designed proteins☆35Updated 7 months ago
- NuFold: End-to-End Approach for RNA Tertiary Structure Prediction with Flexible Nucleobase Center Representation☆48Updated 2 months ago
- Machine learning prediction of enzyme optimum pH☆50Updated 8 months ago
- ☆25Updated 2 years ago
- ☆37Updated 2 years ago
- One protein is all you need☆61Updated last month
- ☆48Updated last month
- DE-STRESS is a model evaluation pipeline that aims to make protein design more reliable and accessible.☆29Updated 10 months ago
- ☆47Updated last year
- ☆32Updated last year
- Ultra-fast in-silico structure mutation☆36Updated 9 months ago