Author

Yves Fomekong‐Nanfack

Merck KGaA, Darmstadt (Germany)ORCID 0000-0002-2637-6423Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:machine learning (classical)· 2 Assay:protein sequence· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Organism:human· 1

Frequent Co-Authors

Abhinav GuptaiD· 2 shared Maria WendtiD· 2 shared Ahmad NajafianiD· 1 shared Alejandro Crespo· 1 shared Andreas EversiD· 1 shared Bonnie BergeriD· 1 shared Brian C. MacknessiD· 1 shared Bryan D. BrysoniD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersBioinformatics

Abhinav GuptaORCID

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3 papers

Recent·Most cited

BioinformaticsProtein SciencePeer-reviewedJun 7, 2026

SNAC-DB: An ML-Ready Database for Antibody and NANOBODY(R) VHH-Antigen Complexes with Expanded Structural Diversity and Real-World Benchmarking

Abhinav Gupta, Bryan Munoz Rivero, Ruijiang Li…·Norbert Furtmann

The paper introduces SNAC-DB, a database with expanded structural diversity for antibody and NANOBODY VHH-antigen complexes, and benchmarks seven models showing limited accuracy and ranking issues.

3 citationstop 3%

protein structurestatistical model

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BioinformaticsProceedings of the National Academy of SciencesPeer-reviewedDec 30, 2024

Learning the Language of Antibody Hypervariability

Rohit Singh, Chiho Im, Yu Qiu…·Bonnie Berger

This paper introduces AbMAP, a transfer learning framework for antibody sequence analysis, showing it can predict structure, binding, and paratope with high accuracy and enable antibody optimization.

31 citationstop 1%

humanprotein sequence

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BioinformaticsbioRxivPreprintNov 19, 2022

SUMO - In Silico Sequence Assessment Using Multiple Optimization Parameters

Andreas Evers, Shipra Malhotra, Wolf-Guido Bolick…·Vanita D. Sood

The paper introduces a computational method to assess and rank antibody and VHH sequences based on developability, diversity, and optimization potential using in silico analysis.

2 citations

protein sequencestatistical model

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