BioinfoMachineLearning / MULTICOM4Links
The MULTICOM4 protein structure prediction system developed by the Bioinformatics and Machine Learning Lab at the University of Missouri - Columbia
☆16Updated 2 months ago
Alternatives and similar repositories for MULTICOM4
Users that are interested in MULTICOM4 are comparing it to the libraries listed below
Sorting:
- Antibody Langauge Ensemble Fusion - fuses antibody structural ensemble and language representation for property prediction☆13Updated last year
- Code for ApoDock☆21Updated 10 months ago
- Modelling protein conformational landscape with Alphafold☆54Updated 5 months ago
- Controlling the usage of hydrophobic residues on AfDesign for binder peptide design with AlphaFold hallucination protocol☆33Updated 2 years ago
- DiffDock implementation that adds support for HPC execution using Slurm and Singularity☆26Updated 8 months ago
- Automatic Retrieval and ClusTering of Interfaces in Complexes from 3D structural information☆32Updated 2 weeks ago
- Interface-aware molecular generative framework for protein-protein interaction modulators☆18Updated last year
- Code for peptide ligand design with machine learning models.☆30Updated last year
- scripts to find PBD structures for cancer driver proteins☆31Updated 2 weeks ago
- Baseline model for PPB-Affinity benchmark data☆34Updated 8 months ago
- A Deep Learning Framework for Allosteric Site Prediction☆15Updated 8 months ago
- ☆37Updated 2 years ago
- Improving protein–ligand docking and screening accuracies by incorporating a scoring function correction term☆29Updated last year
- ☆15Updated last year
- Docking Tool Benchmarking Workflow☆25Updated last year
- Code for the paper "Learning to engineer protein flexibility".☆22Updated 2 weeks ago
- ☆20Updated 3 years ago
- DeepViscosity is a deep learning ANN model developed to predict high concentrated monoclonal antibody viscosity classes (Low <= 20cps, Hi…☆20Updated 6 months ago
- ☆54Updated 8 months ago
- This repository contains code for the paper: "Tertiary motifs as building blocks for the design of protein-binding peptides"☆21Updated 2 years ago
- ☆23Updated 3 weeks ago
- ☆27Updated last year
- Code for deep learning guided design of dynamic proteins☆32Updated last year
- Automatic extraction of interacting compound-target pairs from ChEMBL.☆21Updated 4 months ago
- ☆18Updated last year
- Binding pocket optimization based on force fields and docking scoring functions☆37Updated 10 months ago
- A convolutional neural network model to predict spatial charge map (SCM) score, a molecular dynamics simulation-based model to predict an…☆29Updated 3 years ago
- A Light-Weight And Interpretable Molecular Docking Model☆24Updated last year
- Novel estimator for the change in stability upon point mutation in monomeric and multimeric proteins.☆61Updated 8 months ago
- Implementation of the Confidence Bootstrapping procedure for protein-ligand docking.☆27Updated last year