Author

Miguel Arbesú

ORCID 0000-0001-5444-1969Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:protein design· 2 Assay:protein structure· 2 Approach:deep learning· 1 Approach:diffusion model· 1 Approach:machine learning (classical)· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Adam LeachiD· 1 shared Andrey TovchigrechkoiD· 1 shared Andries SmitiD· 1 shared Arnu Pretorius· 1 shared Cheng ZhangiD· 1 shared Daniel Luo· 1 shared Denis Tarasov· 1 shared Ibtissem KadriiD· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperImmunology

Adam LeachORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintNov 29, 2023

Offline RL for generative design of protein binders

Denis Tarasov, Ulrich Armel Mbou Sob, Miguel Arbesú…·Arnu Pretorius

This study applies offline reinforcement learning to generate protein binders with improved docking and chemical properties by addressing the computational cost of protein-ligand docking.

DOI 10.1101/2023.11.29.569328

protein structuremachine learning (classical)

𝕏 PostBluesky

ImmunologybioRxivPreprintNov 21, 2023

FrameDiPT: SE(3) Diffusion Model for Protein Structure Inpainting

Cheng Zhang, Adam Leach, Thomas Makkink…·Yunguan Fu

FrameDiPT is a diffusion model for protein structure inpainting that recovers masked sections using sequence and structural context, achieving comparable accuracy to existing models with limited data.

DOI 10.1101/2023.11.21.568057

protein structurediffusion model

𝕏 PostBluesky