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.

Selected Publications

Peer-reviewed work using the same methods I offer.

Plan Your Study

Indicative estimate

$20starting
≈ 3 working days
    Send it on Fiverr Send it on LinkedIn

    Indicative starting prices for well-defined academic projects. You always get a fixed quote before any work starts. Industry and confidential projects are quoted separately.

    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.