Author

Boris Fomitchev

Johannes Gutenberg University Mainz

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:protein structure· 2 Research Focus:protein structure prediction· 2 Research Focus:database / resource· 1 Organism:human· 1 Organism:mouse· 1 Organism:rat· 1 Approach:statistical model· 1

Frequent Co-Authors

Alejandro ChacóniD· 2 shared Christian DallagoiD· 2 shared Kieran DidiiD· 2 shared Martin SteineggeriD· 2 shared Milot MirditaiD· 2 shared Prashant SohaniiD· 2 shared Agata LaydoniD· 1 shared Ahsan TanweeriD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersSynthetic Biology

Alejandro ChacónORCID

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2 papers

Recent·Most cited

AlphaFold Database expands to proteome-scale quaternary structures

Yewon Han, Maxim I. Tsenkov, Niccolò Alberto Elia Venanzi, Sooyoung Cha, Nilkanth Patel, Sreenath Sasidharan Nair, Razan Abbara, Damian Bertoni, Alejandro Chacón, Nick Dietrich, Boris Fomitchev, Yonathan Goldtzvik, Darren Jason Hsu, Jeannie Austin, Joseph I. J. Ellaway, , Christian Dallago

The paper expands the AlphaFold Protein Structure Database to include proteome-scale quaternary structures, predicting 1.81M high-confidence protein complexes and revealing conserved structural clusters across domains of life.

bioRxiv · Jul 4, 2026 · PreprintSynthetic Biology

Efficient protein structure prediction fromcompact computers to datacenters withOpenFold-TRT

Kieran Didi, Prashant Sohani, Fabian Berressem, Alexander Nesterovskiy, Boris Fomitchev, Robert Ohannessian, Mohamed Elbalkini, Jonathan Cogan, Anthony B. Costa, Arash Vahdat, Felix Kallenborn, Bertil Schmidt, Milot Mirdita, Martin Steinegger, Christian Dallago, Alejandro Chacón

The paper accelerates protein structure prediction using OpenFold with TensorRT and MMseqs2-GPU, achieving 131x faster inference than AlphaFold2 on specific hardware.

bioRxiv · Mar 15, 2026 · PreprintBioinformatics