Lailabcode / DeepSCM
A convolutional neural network model to predict spatial charge map (SCM) score, a molecular dynamics simulation-based model to predict antibody viscosity.
☆20Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for DeepSCM
- An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.☆22Updated 8 months ago
- The Patent and Literature Antibody Database (PLAbDab): an evolving reference set of functionally diverse, literature-annotated antibody s…☆23Updated 4 months ago
- AlphaFold-initiated replica exchange protein docking☆45Updated 3 months ago
- ☆20Updated last year
- Graphinity: Equivariant Graph Neural Network Architecture for Predicting Change in Antibody-Antigen Binding Affinity☆25Updated 10 months ago
- Antibody paratope prediction using Graph Neural Networks with minimal feature vectors☆33Updated last year
- An antibody-specific language model focusing on NGL prediction☆21Updated 3 months ago
- Machine learning models for antibody sequences in PyTorch☆38Updated 3 years ago
- Tool for modelling the CDRs of antibodies☆45Updated last year
- ☆34Updated 3 years ago
- Machine learning-driven antibody design☆51Updated last year
- ☆21Updated last year
- ☆43Updated last year
- KA-Search: Rapid and exhaustive sequence identity search of known antibodies☆20Updated 4 months ago
- Making Protein folding accessible to all!☆18Updated 10 months ago
- Fitness landscapes for antibodies☆51Updated 7 months ago
- Repo contains source code of the SurfaceID paper☆15Updated 8 months ago
- Exploring the conformational ensembles of protein-protein complexes with transformer-based generative neural networks☆25Updated 5 months ago
- Code for the paper "DLAB - Deep learning methods for structure-basedvirtual screening of antibodies"☆30Updated 2 years ago
- Quantifying the nativeness of antibody sequences using long short-term memory networks☆16Updated 2 years ago
- Dataset with quantitative binding scores of scFv-format antibodies against SARS-CoV-2 target peptide☆21Updated last year
- A surface-based deep learning approach for the prediction of ligand binding sites on proteins☆38Updated last year
- Active Learning-Assisted Directed Evolution for Protein Engineering☆25Updated this week
- Code and data used in https://doi.org/10.1101/2021.08.01.454656☆51Updated 2 years ago
- ☆45Updated 5 months ago
- A complete, open-source, end-to-end re-implementation of the Church Lab's low-N eUniRep in silico protein engineering pipeline presented …☆26Updated 4 years ago
- ☆21Updated 4 months ago
- NodeCoder is a general framework based on graph convolutional neural network for protein function prediction.☆31Updated 6 months ago
- a fast and accurate physical energy function extended from EvoEF for protein sequence design☆25Updated last year
- A structure checker in python☆18Updated 7 months ago