Author

Fatih Yergöz

Charité – Universitätsmedizin BerlinORCID 0000-0002-9709-8563Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:statistical model· 2 Approach:deep learning· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Christof SchütteiD· 2 shared Marcus WeberiD· 2 shared AkshatKumar NigamiD· 1 shared Arne ThiesiD· 1 shared Christoph GorgullaiD· 1 shared Christoph SteiniD· 1 shared Christopher SeckeriD· 1 shared Hanna WulkowiD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersBioinformatics

Christof SchütteORCID

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2 papers

Recent·Most cited

Evolutionary exploration of drug-like chemical space utilizing generative AI and virtual screening

Christopher Secker, Philipp F. Secker, Fatih Yergöz, M. Oezguer Celik, Surahit Chewle, Maria Phuong Nga Le, Mustafa Masoud, Steffen Christgau, Marcus Weber, Christoph Gorgulla, AkshatKumar Nigam, Robert Pollice, Christof Schütte, Konstantin Fackeldey

This paper presents an evolutionary algorithm framework combining generative AI and virtual screening to efficiently explore large chemical spaces and identify novel drug candidates.

bioRxiv · Mar 30, 2026 · PreprintBioinformatics

Modelling altered signalling of G-protein coupled receptors in inflamed environment to advance drug design

Sourav Ray, Arne Thies, Vikram Sunkara, Hanna Wulkow, Melih Ö. Celik, Fatih Yergöz, Christof Schütte, Christoph Stein, Marcus Weber, Stefanie Winkelmann

The paper develops a stochastic model of GPCR function in inflamed environments and validates it with experimental data, showing that low pH has a greater impact on GPCR behavior than radicals.

bioRxiv · Oct 20, 2021 · PreprintSystems Biology