RafsanjaniHub / Anticancer-Peptides-CNNLinks
Anticancer Peptide Identification employing Multi-headed Deep-CNN
☆13Updated 4 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"☆13Updated 3 years ago
- A deep learning model to predict anticancer peptides.☆23Updated 6 years ago
- Hierarchical Embedding for Drugs☆16Updated last year
- ☆13Updated 3 years ago
- An end-to-end linear-time algorithm for structural alignment and conserved structure prediction of RNA homologs☆11Updated last year
- a deep learning tool for the classification of biological sequences☆18Updated 4 months ago
- ☆12Updated 4 years ago
- ChEMBL Database used to create Lipinski Descriptors (ADME Pharmokinetic Profile) to use in a Random Forest Regression Model☆14Updated 5 years ago
- Graph Neural Networks for Drug Efficacy Prediction☆11Updated 3 years ago
- Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions☆24Updated 2 years ago
- An Integrative Drug Repurposing Pipeline using KNIME and Programmatic Data Access: A case study on COVID-19 Data☆15Updated 5 years ago
- ☆16Updated 3 years ago
- a deep learning framework for essential protein prediction☆13Updated 2 years ago
- Sequence-based protein solubility predictor☆11Updated 5 years ago
- Official repository for multitask deep learning models.☆20Updated 5 years ago
- Amino Acid Embedding Representation as Machine Learning Features☆20Updated 7 years ago
- Anti-Cancer Peptide Prediction with Deep Representation Learning Features☆11Updated 4 years ago
- Methods of druglikeness prediction☆16Updated 3 years ago
- Sequence-based protein solubility prediction using multidimensional embedding☆12Updated 4 years ago
- A Graph Neural Network Model for prediction of the effectiveness of a drug on a given cancer cell lines☆17Updated 2 years ago
- PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction pre…☆54Updated 4 months ago
- Supplementary data for the ACME algorithm☆23Updated 3 years ago
- Materials for KDD2023 tutorial: Knowledge-augmented Graph Machine Learning for Drug Discovery: from Precision to Interpretability☆23Updated 2 years ago
- Coloring molecules with explainable artificial intelligence☆16Updated 4 years ago
- Matrix factorization and deep learning for molecular property prediction☆13Updated 6 years ago
- A deep generative neural network based approach to impute drug response☆23Updated 4 years ago
- [Bioinformatics 2022] Cross-Modality and Self-Supervised Protein Embedding for Compound-Protein Affinity and Contact Prediction☆16Updated last year
- Emap2sec is a computational tool to identify protein secondary structures☆16Updated last year
- Cross-modal generation of molecules from gene expression inputs. (Briefings in Bioinformatics 2024)☆11Updated 7 months ago
- ProQDock is a Protein-Protein docking scoring program that uses high level coordinate driven features compiled and trained by a Support V…☆11Updated 4 years ago