NDD
importedtherapeutics/ndd
Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/nrohani/NDD
- Documentation
- unknown
- Tags
- deep-neural-networks · drug-discovery · drug-drug-interaction · drug-similarities · drug-target-interactions · ndd · neural-network · neural-networks
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- DeepPurposedrug-discovery · drug-drug-interaction
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
- DeepDrugDomaindrug-discovery · drug-target-interactions
DeepDrugDomain: A versatile Python toolkit for streamlined preprocessing and accurate prediction of drug-target interactions and binding affinities, leveraging deep learning for advancing…
- DrugGENdrug-discovery · drug-target-interactions
Official implementation of DrugGEN: Target Specific De Novo Design of Drug Candidate Molecules with Graph Transformer-based Generative Adversarial Networks
- hyper-dtidrug-discovery · drug-target-interactions
HyperPCM: Robust task-conditioned modeling of drug-target interactions
- Meekodrug-discovery · drug-target-interactions
Interface for AutoDock, molecule parameterization
- mt-dtidrug-discovery · drug-target-interactions
An official Molecule Transformer Drug Target Interaction (MT-DTI) model
- api.github.com/repos/nrohani/NDDretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2021-04-04, 31 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/49.json→ .entries["ndd"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.