I will perform molecular docking and virtual screening for drug discovery

U
usmanshahid48
U
usmanshahid48
Usman Shahid
Alcune informazioni sono riportate in lingua inglese.

Informazioni su questo servizio

Are you a researcher, PhD student, or biotech professional looking to identify potential drug candidates computationally?

I am a computational biology researcher with hands-on experience in structure-based drug discovery. My final year research involved in silico inhibitor discovery for CARDS toxin of Mycoplasma pneumoniae identifying 2 lead compounds from large compound libraries using AutoDock Vina, validated through ADMET and Lipinski/Veber pharmacokinetic filters.

What I offer:

Target protein preparation from PDB

Molecular docking using AutoDock Vina

Virtual screening of compound libraries

ADMET & drug-likeness evaluation (Lipinski, Veber)

Ligand-protein interaction analysis (PyMOL)

Clear, publication-ready report with visualizations

Tools: AutoDock Vina, PyMOL, UCSF Chimera, RCSB PDB, ChEMBL, SwissADME

Message me before ordering to discuss your target protein and project scope.

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Usman Shahid

molecular docking, Ai Driven Drug Discovery,3D models

  • DaPakistan
  • Membro dadic 2022
  • Lingue

    Inglese
I am a computational biology researcher specializing in structure-based drug discovery and molecular docking. I use AutoDock Vina and PyMOL to perform end-to-end virtual screening pipelines — from target protein preparation to ligand docking, interaction analysis, and drug-likeness evaluation using Lipinski and Veber filters. What you get: Target protein preparation from PDB Molecular docking using AutoDock Vina Virtual screening of compound libraries ADMET & drug-likeness evaluation Ligand-protein interaction visualization (PyMOL) Clean report with results and binding scores.