Computational chemist · University of Oxford

Jochem Nelen

Postdoctoral Research Associate · Oxford Protein Informatics Group

I develop and evaluate computational methods for structure-based drug discovery, with a focus on protein-ligand modelling, virtual screening, benchmarking, and experimentally grounded datasets.

Portrait of Jochem Nelen

I am currently working as a Postdoctoral Research Associate in the Oxford Protein Informatics Group (OPIG) at the University of Oxford. Within OpenBind, my research focuses on protein-ligand binding prediction, benchmark development, and the curation and analysis of large-scale structural and affinity datasets.

During my PhD at UCAM, completed summa cum laude, I developed consensus-based virtual screening methods and applied them to hit identification and lead optimisation projects in collaboration with academic and industrial partners.

I am particularly interested in making virtual screening more reliable across each stage of the workflow, from receptor selection and pose generation to rescoring, consensus ranking, and hit prioritisation. A central goal is to improve enrichment and hit rates by understanding where current workflows fail and by integrating complementary computational and experimental information.

Structure-based drug discovery Protein-ligand modelling Virtual screening Benchmarking Fragment-informed design Machine learning

Presented The first OpenBind release as a poster and flash presentation at the 10th RSC-BMCS Fragment-based Drug Discovery Meeting in Cambridge. Poster ↗

The first OpenBind structure-affinity dataset and benchmark for structure-based AI is now available as a preprint. Preprint ↗

Our work on WEE1-targeting inhibitors, from virtual screening to lead discovery, published in Bioorganic & Medicinal Chemistry. Paper ↗

Published our computational discovery and optimisation study of a potent, selective p38α inhibitor scaffold. Paper ↗

Publications

2026

STELLAR: A Fragment-Based Docking Workflow for Highly Flexible Long-Chain Biopolymers

A. Rodríguez-Martínez, J. Nelen, M. Carmena-Bargueño, C. Martínez-Cortés, and H. Pérez-Sánchez.

Journal of Chemical Information and Modeling. ASAP article.

Paper ↗
2026

Freshness flavour perception via quantum-inspired and quantum ligand-based virtual screening

A. Rodríguez-Otero, M. Mussa-Juane, M. Paredes-Ramos, J. Nelen, A. Borrallo Rentero, H. Pérez-Sánchez, A. Gómez Tato, and J. M. López Vilariño.

Scientific Reports.

Paper ↗
2026
Preprint

The first OpenBind release: An open experimental structure-affinity dataset and benchmark for structure-based AI

J. Nelen, O. Khan, E. Adams, J. C. Aschenbrenner, W. Thompson, A. Ebrahim, E. Çapkin, C. Vallée, OpenBind, E. J. Shotton, E. J. Griffen, J. D. Chodera, C. M. Deane, F. von Delft, M. AlQuraishi, and F. Imrie.

bioRxiv.

Preprint ↗ Poster ↗
2026

Wee1-targeting inhibitors: From virtual screening to lead discovery

J. Nelen, B. Sarkar, J. Jiménez-Bernad, A. C. Darragh, A. M. Hanna, N. B. Servant, M. Jahic, J. M. Villalgordo-Soto, G. I. Georg, and H. Pérez-Sánchez.

Bioorganic & Medicinal Chemistry 138, 118645.

Paper ↗
2026

Computational Discovery and Optimization of a Potent, Selective, and Drug-Like Scaffold for p38α Inhibition

J. Nelen, M. I. Goettert, M. Forster, L. Breuils, J. M. Villalgordo-Soto, S. A. Laufer, and H. Pérez-Sánchez.

Drug Design, Development and Therapy 20, 585325.

Paper ↗
2026

Discovery of Novel Molecular Scaffolds to Overcome Pseudomonas aeruginosa Aminoglycoside Resistance: Insights for a Consensus Scoring Rational Design Approach

F. Iesce, J. Nelen, A. Rodríguez-Martínez, C. Martínez-Cortés, C. Minnelli, G. Mobbili, A. Di Gregorio, C. Vignaroli, H. Pérez-Sánchez, and R. Galeazzi.

International Journal of Molecular Sciences 27(6), 2642.

Paper ↗
2026

Enhancing Drug Repurposing with Consensus Docking: Discovery of Novel Discoidin Domain Receptor 1 Inhibitors

J. Nelen, L. Zhao, X. Song, L. Liu, Z. Tu, Z. Wang, K. Ding, and H. Pérez-Sánchez.

ChemMedChem 21(2), e202500747.

Paper ↗
2025

Targeting drug resistance in cancer: Dimethoxycurcumin as a functional antioxidant targeting ABCC3

J. Nelen, V. Naponelli, J. M. Villalgordo-Soto, M. Falasca, and H. Pérez-Sánchez.

Antioxidants 14(5), 599.

Paper ↗
2025

Matched pairs demonstrate robustness against inter-assay variability

J. Nelen, H. Pérez-Sánchez, H. De Winter, and D. Van Rompaey.

Journal of Cheminformatics 17, 8.

Paper ↗
2024

Interaction of anticancer oxygenated propenylbenzene derivatives with human topoisomerase IIα and actin: molecular modeling and isothermal titration calorimetry studies

J. Grzelczyk, H. Pérez-Sánchez, J. Nelen, M. Carmena-Bargueño, I. Gałązka-Czarnecka, G. Budryn, D. Hernik, E. Brenna, and F. Boratyński.

Journal of Thermal Analysis and Calorimetry.

Paper ↗
2024

Enhancing MD simulations: ASGARD's automated analysis for GROMACS

A. Rodríguez-Martínez, J. Nelen, M. Carmena-Bargueño, C. Martínez-Cortés, I. Luque, and H. Pérez-Sánchez.

Journal of Biomolecular Structure and Dynamics.

Paper ↗
2024

ESSENCE-Dock: A Consensus-Based Approach to Enhance Virtual Screening Enrichment in Drug Discovery

J. Nelen, M. Carmena-Bargueño, C. Martínez-Cortés, A. Rodríguez-Martínez, J. M. Villalgordo-Soto, and H. Pérez-Sánchez.

Journal of Chemical Information and Modeling 64(5), 1605-1614.

Paper ↗ Poster ↗
2023

Antcin-B, a phytosterol-like compound from Taiwanofungus camphoratus, inhibits SARS-CoV-2 3-chymotrypsin-like protease activity in silico and in vitro

G. Dakpa, K. S. Kumar, J. Nelen, H. Pérez-Sánchez, and S. Y. Wang.

Scientific Reports 13, 17106.

Paper ↗
2020

Identifying isoniazid resistance markers to guide inclusion of high-dose isoniazid in tuberculosis treatment regimens

E. Rivière, M. G. Whitfield, J. Nelen, T. H. Heupink, and A. Van Rie.

Clinical Microbiology and Infection 26(10), 1332-1337.

Paper ↗

Posters & talks

Selected conference contributions

Poster PDFs are available directly from the previews below.

Preview of the OpenBind release poster
2026 · Poster + Flash Presentation

The first OpenBind release

10th RSC-BMCS Fragment-based Drug Discovery Meeting, Cambridge.

View poster ↗
Preview of the ESSENCE-Dock poster
2024 · Poster

ESSENCE-Dock

24th European Symposium on QSAR, Barcelona.

View poster ↗
Preview of the interpretable machine learning poster
2023 · Flash presentation

Interpretable ML for drug discovery

III Symposium on Chemical and Physical Sciences for Young Researchers, Murcia. Best Flash Presentation.

View poster ↗

Postdoctoral Research Associate

Oxford Protein Informatics Group, University of Oxford

OpenBind research on protein-ligand binding prediction, benchmark design, docking, and co-folding, contributing to high-quality experimental datasets for the next generation of AI models for structure-based drug discovery.

PhD in Health Sciences

BIO-HPC, UCAM Universidad Católica San Antonio de Murcia

Consensus-based virtual screening methods and computational-experimental drug-discovery projects. Summa cum laude.

Visiting Research Intern

McCarthy Team, EMBL Grenoble

Fragment-informed virtual screening and structure-guided pharmacophore modelling, including exploration of fragment linking with DiffLinker.

Visiting Research Intern

UAMC, University of Antwerp

Inter-assay variability in ChEMBL bioactivity data, including work in collaboration with Drug Discovery Data Sciences at Janssen Pharmaceutica NV.

MSc Biochemistry and Biotechnology

University of Antwerp

Master's thesis carried out at UAMC under the supervision of Prof. Hans De Winter, developing a user-friendly web tool for displaying free-energy perturbation calculations.

BSc Biochemistry and Biotechnology

University of Antwerp

Bachelor's thesis carried out at BIOMINA under the supervision of Prof. Kris Laukens, investigating resistance markers for isoniazid in Mycobacterium tuberculosis. This work contributed to a subsequent publication in Clinical Microbiology and Infection.

Contact

Get in touch

For research discussions, collaborations, or questions about my work, feel free to contact me.