largelymfs / DeepFold
Learning structural motif representations for efficient protein structure search
☆18Updated 7 years ago
Alternatives and similar repositories for DeepFold:
Users that are interested in DeepFold are comparing it to the libraries listed below
- ☆23Updated last year
- Predict the boundary of transcript start and end from RNA-seq reads alignment☆11Updated 7 years ago
- Deep convolutional networks for fold recognition☆22Updated 5 years ago
- Learning Protein Constitutive Motifs from Sequence Data: RBM toolbox☆20Updated 5 years ago
- ☆25Updated 2 years ago
- ☆13Updated 5 years ago
- Amino Acid Embedding Representation as Machine Learning Features☆19Updated 6 years ago
- ERGO is a deep learing based model for predicting TCR-peptide binding.☆17Updated 2 years ago
- ☆25Updated 5 years ago
- inferring sequence-structure motifs using deep learning☆37Updated last year
- Train an Amino Acid Embeddings (or a dragon?)☆17Updated 7 years ago
- Deep learning based alignment-free method for protein family modeling and prediction☆17Updated 6 years ago
- Universal Transforming Geometric Network for protein structure prediction.☆8Updated 4 years ago
- Chromatin Accessibility Prediction via Convolutional Long Short-Term Memory Networks with k-mer Embedding☆14Updated 6 years ago
- Neural networks for amino acid sequences☆20Updated 6 years ago
- Code and Data to accompany "Dilated Convolutions for Modeling Long-Distance Genomic Dependencies", presented at the ICML 2017 Workshop on…☆28Updated 7 years ago
- End-to-end deep learning toolkit for predicting protein binding sites and motifs.☆45Updated 5 years ago
- Implementation of "Semi-supervised learning of hierarchical representations of molecules using neural message passing" (arXiv:1711.10168)☆14Updated 6 years ago
- Methods for mapping genomic data onto 3D protein structure.☆28Updated 2 years ago
- iDeep: integrated prediction of RNA-protein binding sites using deep learning☆39Updated 4 years ago
- The Complete Python Antibody Library☆21Updated 5 months ago
- Deep Learning tool trained on protein sequence embeddings from protein language models to accurately detect remote homologues for CATH su…☆11Updated 2 years ago
- Machine learning framework for predicting the responses of drug combinations in pre-clinical studies, such as those based on cell lines o…☆26Updated 4 years ago
- deep learning toolkit (written on top of tensorflow) to streamline computational biology analysis☆23Updated last year
- 🧛 Deep generative models for TCR sequences 🧛☆16Updated 2 years ago
- Epistatic Net is an algorithm which allows for spectral regularization of deep neural networks to predict biological fitness functions (e…☆17Updated 3 years ago
- CapsNet for Protein Post-translational Modification site prediction.☆25Updated 5 years ago
- Prediction of protein substitution impact using a directional substitution matrix and homolog alignments☆12Updated 3 years ago
- DeepContact Software☆26Updated 6 years ago
- Deep Motif (ICLR16)/ Deep Motif Dashboard (PSB17): Visualizing Genomic Sequence Classifications☆46Updated 5 years ago