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InSilicoQ

imported

therapeutics/insilicoq

Quantum Computing and Machine Learning for Drug Design and Proteins Engineering

Machine-generated from the listed sources and not yet reviewed by a human.

InSilicoQ project image
GitHub preview card for farhad-abdi/InSilicoQ. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Repository
github.com/farhad-abdi/InSilicoQ
Documentation
unknown
Tags
drug-discovery · machine-learning · pytorch · qiskit · quantum-computing · rdkit
Regulatory
unknown
similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • Veronica-X-Pro-open-source-code-2.0qiskit · quantum-computing

    Advanced AI system with real quantum computing integration, sophisticated neural architectures, and production-grade infrastructure.

  • quantum-computing-exploration-for-drug-discovery-on-awsdrug-discovery · quantum-computing

    Deploy a solution to research on drug discovery problems using quantum computing and classical computing resources.

  • logD_predictordrug-discovery · pytorch · rdkit

    Prediction of CHI logD from ¹H/¹³C NMR spectra and molecular fingerprints using ML and deep learning.

  • molgendrug-discovery · pytorch · rdkit

    Lightweight toolkit for de novo molecular generation: SMILES & SELFIES tokenizers, CharRNN / MolGPT / VAE models, training, sampling, and MOSES-style metrics.

  • posecheck-fastdrug-discovery · pytorch · rdkit

    High-throughput docking pose validation: symmetry-corrected RMSD and lightweight PoseBusters-style distance/clash filters.

  • ShapePharm3Ddrug-discovery · pytorch · rdkit

    3D pharmacophore-conditioned molecular diffusion with an E(3)-equivariant EGNN backbone. Generates shape-complementary, drug-like molecules conditioned on pharmacophore point clouds and PMI/SSD…

sources
  1. api.github.com/repos/farhad-abdi/InSilicoQ
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2024-03-12, 16 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/62.json→ .entries["insilicoq"]

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