mrzResearchArena / Anticancer-Peptides-CNNLinks
Anticancer Peptide Identification employing Multi-headed Deep-CNN
☆13Updated 3 years ago
Alternatives and similar repositories for Anticancer-Peptides-CNN
Users that are interested in Anticancer-Peptides-CNN are comparing it to the libraries listed below
Sorting:
- Code for paper "ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning"☆12Updated 3 years ago
- ☆13Updated 2 years ago
- A deep learning model to predict anticancer peptides.☆23Updated 6 years ago
- An end-to-end linear-time algorithm for structural alignment and conserved structure prediction of RNA homologs☆11Updated last year
- Anti-Cancer Peptide Prediction with Deep Representation Learning Features☆11Updated 4 years ago
- Hierarchical Embedding for Drugs☆16Updated last year
- iFeatureOmega is a comprehensive platform for generating, analyzing and visualizing more than 170 representations for biological sequence…☆33Updated 2 years ago
- a deep learning tool for the classification of biological sequences☆18Updated 3 months ago
- Data-driven chemical-induced toxicity prediction by machine learning using chemical and bioactivity data☆10Updated 8 years ago
- ☆24Updated 4 years ago
- ☆12Updated 4 years ago
- Drug-Target Interaction Prediction Using Convolutional Neural Networks By Images of Compounds☆10Updated 5 years ago
- a deep learning framework for essential protein prediction☆13Updated 2 years ago
- Sequence-based protein solubility predictor☆11Updated 5 years ago
- Matrix factorization and deep learning for molecular property prediction☆13Updated 6 years ago
- ChEMBL Database used to create Lipinski Descriptors (ADME Pharmokinetic Profile) to use in a Random Forest Regression Model☆14Updated 4 years ago
- Graph Neural Networks for Drug Efficacy Prediction☆11Updated 3 years ago
- Official repository for multitask deep learning models.☆20Updated 4 years ago
- PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction pre…☆54Updated 2 months ago
- Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions☆24Updated 2 years ago
- We propose PepBCL, a novel BERT (Bidirectional Encoder Representation from Transformers)-based Contrastive Learning framework to predict …☆16Updated 2 years ago
- Tutorial on the usage of Rdkit, Pandas, sklearn, machine learning, descriptor calculation, etc.. in the context of bioactivity predictive…☆14Updated 11 years ago
- webserver☆23Updated 4 months ago
- Sequence-based protein solubility prediction using multidimensional embedding☆12Updated 4 years ago
- Mol2vec notebooks for use with Binder service☆29Updated 7 years ago
- ☆13Updated 5 years ago
- [Bioinformatics 2022] Cross-Modality and Self-Supervised Protein Embedding for Compound-Protein Affinity and Contact Prediction☆16Updated last year
- Collection of machine learning models for predicting toxicity of molecules☆12Updated 5 years ago
- DeePhase predictor of homotypic liquid-liquid phase separation of proteins & the code associated with the paper "Learning the molecular g…☆18Updated 3 years ago
- ☆20Updated 4 years ago