Computational Drug Discovery Services

From target to publication-ready insight.

Molecular docking, molecular dynamics, DFT and machine learning, run by a PhD and Postdoctoral Researcher at Universitat Autònoma de Barcelona, with the same rigor I apply to my own peer-reviewed work.

25+peer-reviewed publications
50+technical guides on this site
5.0★client rating on Fiverr
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What I Offer
Donepezil bound in the acetylcholinesterase gorge (PDB 4EY7) with a hydrogen bond to Phe295

Molecular Docking & Virtual Screening

AutoDock Vina · ensemble docking · drug repurposing

Protein and ligand preparation, docking or screening of compound libraries, and binding-mode analysis with clear 2D/3D interaction figures.

MD trajectory projected on PC1 and PC2, coloured by simulation time

Molecular Dynamics & Enhanced SamplingExample output

GROMACS · OpenMM · MM-PBSA/GBSA

Replicated MD of protein–ligand complexes (RMSD, RMSF, H-bonds, PCA, DCCM, free-energy landscapes), plus accelerated, steered and random-acceleration MD (RAMD) for rare events such as ligand unbinding.

DFT charge density difference at a NiO(001)/g-C3N4 interface

DFT Calculations

ORCA · Quantum ESPRESSO

Molecular DFT (geometries, frequencies, HOMO–LUMO, MEP, IR/UV-Vis, reaction energies) and periodic DFT (band structure, DOS, charge density, adsorption).

Example QSAR classifier summary: cross-validated ROC curve, confusion matrix and SHAP feature importance

Machine Learning & QSARExample output

scikit-learn · XGBoost · deep learning · RDKit

Curated bioactivity data, cross-validated classification and regression models (ROC, confusion matrix, applicability domain) and SHAP-based interpretation.

Protein–protein docking complex shown as molecular surfaces

Protein Modeling & Protein–Protein Docking

homology modeling · AlphaFold validation · ZDOCK

Building and validating protein structures, and modeling protein–protein and protein–peptide complexes with interface analysis.

Example compound–target network coloured by degree, with a KEGG pathway enrichment bubble plot

Network Pharmacology & BioinformaticsExample output

target prediction · PPI networks · KEGG/GO enrichment

Multi-target analysis of natural products and drug candidates, from target identification to pathway enrichment.

One Coherent Workflow
1

Target & ligands

Structure selection, homology models, protonation and ligand preparation

2

Docking

Binding modes, ensemble docking or library screening

3

MD simulation

Replicated runs, plus accelerated, steered or RAMD for rare events

4

Free energy & QM

MM-PBSA/GBSA, free-energy landscapes, DFT where it matters

5

Report

Figures, methods section and all files, ready for your manuscript

How It Works
Step 1

Share your project

Your target, compounds and research question. NDAs are welcome.

Step 2

Get a clear plan

I propose the right methods, scope, timeline and a fixed price.

Step 3

Receive your results

Publication-ready figures, a written report with a methods section, and all input and output files.

What Clients Say
Working with Yassir has been nothing short of outstanding. He is not only highly reliable, but also deeply knowledgeable in the field of computational drug discovery…
★★★★★
Fiverr client · United States
Very competent in molecular docking, with strong technical skills. Also a clear and responsive communicator, delivering quality work on time and showing great professionalism
★★★★★
Fiverr client · Morocco
Repeat client
Yassir did Great work again. Highly recommended
★★★★★
Fiverr client · Pakistan
Repeat client
Selected Publications

Peer-reviewed work using the same methods I offer.

Plan Your Study

Your study

1service selected
Copy the brief and send it to me

    Every project gets a free scoping call and a fixed quote before work starts. Confidential projects are welcome under NDA.

    Start Your Project

    Small, well-defined jobs can be ordered directly on Fiverr. For larger studies, multi-month collaborations or industry projects, send me a short description and I will reply with a plan and a quote.