← back to search

Vincent Zoete

Cancer Research Center · CH
Area of research
Molecular Biology · Computational Theory and Mathematics
Research interest
Research interests include Computational Drug Discovery Methods, Protein Structure and Dynamics, CAR-T cell therapy research, and Immunotherapy and Immune Responses.
h-index
60
citations
42,758
works
290
NIH funding
primary concept
Chemistry
email

Recent publications

Universal paratope-epitope interaction patterns in antibody-antigen structures.
2026cited by 0position: contributordoi
Swiss-PO 2025: Advancing Cancer Mutation and Structural Analysis for Precision Oncology With the Latest Release.
2026cited by 0position: contributordoi
Attracting Cavities 3.0: Faster and More Versatile Molecular Docking for the SwissDock Webserver
2026cited by 0position: contributordoi
Identification of clinically relevant T cell receptors for personalized T cell therapy using combinatorial algorithms.
2025cited by 22position: contributordoi
Phage display enables machine learning discovery of cancer antigen-specific TCRs.
2025cited by 10position: contributordoi
Engineered CD4 TCR T cells with conserved high-affinity TCRs targeting NY-ESO-1 for advanced cellular therapies in cancer.
2025cited by 4position: contributordoi
Author Correction: Identification of clinically relevant T cell receptors for personalized T cell therapy using combinatorial algorithms.
2025cited by 3position: contributordoi
Rapid and Reliable Structural Modeling of Adaptive Immune Receptors Using an Optimized AlphaFold3 workflow
2025cited by 1position: contributordoi
Rethinking Molecular Beauty in the Deep Learning Era
2025cited by 1position: contributordoi
Comparative Assessment of the Utility of Co-Folding and Docking for Small-Molecule Drug Design
2025cited by 1position: contributordoi
Knowledge-guided machine-learning and reverse screening combined method to predict cancer cell line responses to cytotoxic molecules
2025cited by 0position: contributordoi
Novel universal domain-centric method for protein classification
2025cited by 0position: contributordoi
SwissDock 2024: major enhancements for small-molecule docking with Attracting Cavities and AutoDock Vina.
2024cited by 248position: contributordoi
Testing the predictive power of reverse screening to infer drug targets, with the help of machine learning.
2024cited by 48position: contributordoi
Antibody-peptide conjugates deliver covalent inhibitors blocking oncogenic cathepsins.
2024cited by 12position: contributordoi
Combining SiRPα decoy-coengineered T cells and antibodies augments macrophage-mediated phagocytosis of tumor cells.
2024cited by 11position: contributordoi
Predicting Antigen-Specificities of Orphan T Cell Receptors from Cancer Patients with TCRpcDist.
2024cited by 7position: contributordoi
Herpes simplex encephalitis due to a mutation in an E3 ubiquitin ligase.
2024cited by 7position: contributordoi
Preclinical model for evaluating human TCRs against chimeric syngeneic tumors.
2024cited by 2position: contributordoi
A direct experimental test of Ohno’s hypothesis
2024cited by 2position: contributordoi
A direct experimental test of Ohno’s hypothesis
2024cited by 2position: contributordoi
Expression of Concern: Durable Suppression of Acquired MEK Inhibitor Resistance in Cancer by Sequestering MEK from ERK and Promoting Antitumor T-cell Immunity.
2024cited by 0position: contributordoi
Methylation-Based Characterization of a New <i>IDH2</i> Mutation in Sinonasal Undifferentiated Carcinoma.
2024cited by 0position: contributordoi
Author response: A direct experimental test of Ohno’s hypothesis
2024cited by 0position: contributordoi
SwissParam 2023: A Modern Web-Based Tool for Efficient Small Molecule Parametrization
Journal of Chemical Information and Modeling 2023cited by 248position: lastdoi
SwissParam 2023: A Modern Web-Based Tool for Efficient Small Molecule Parametrization.
2023cited by 127position: contributordoi
Machine learning predictions of MHC-II specificities reveal alternative binding mode of class II epitopes.
2023cited by 88position: contributordoi
Attracting Cavities 2.0: Improving the Flexibility and Robustness for Small-Molecule Docking.
2023cited by 68position: contributordoi
Neoantigen-specific CD8 T cells with high structural avidity preferentially reside in and eliminate tumors.
2023cited by 55position: contributordoi
Influenza A virus exploits transferrin receptor recycling to enter host cells.
2023cited by 37position: contributordoi

Grants

No grants ingested yet.

Frequent collaborators

· 44 papers (2019–2026)Olivier Michielin · Cancer Research Center18 papers (2019–2026)Marta A. S. Perez · SIB Swiss Institute of Bioinformatics11 papers (2020–2026)Michal Bassani-Sternberg · Agora10 papers (2019–2025)Ute F. Röhrig · SIB Swiss Institute of Bioinformatics10 papers (2019–2026)Melita Irving · Ludwig Cancer Research10 papers (2021–2025)Alexandre Harari · Ludwig Cancer Research9 papers (2020–2025)Justyna Iwaszkiewicz · SIB Swiss Institute of Bioinformatics9 papers (2020–2024)George Coukos · Agora7 papers (2022–2025)Antoine Daina · American Chemical Society5 papers (2022–2025)Lana Kandalaft · Idiap Research Institute5 papers (2020–2025)Marine Bugnon · University of Lausanne5 papers (2023–2026) · 5 papers (2022–2025)Johanna Chiffelle · Swiss Cancer Center Léman5 papers (2022–2025)Stylianos E. Antonarakis · University of Geneva4 papers (2019–2023)Içvara Barbier · Imperial College London4 papers (2023–2024)Mathilde Goullieux · Ecole Européenne de Chimie Polymères et Matériaux de Strasbourg: Strasbourg, Alsace, FR4 papers (2023–2024)Raphael Genolet · University Hospital of Lausanne4 papers (2023–2025)Florian Baier · École Polytechnique Fédérale de Lausanne4 papers (2023–2024)David Gfeller · Cancer Research Center4 papers (2022–2025)