Author

Valentin Stanev

AstraZeneca (United States)ORCID 0000-0001-6129-133XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:graph neural network· 2 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Maryam PouryahyaiD· 2 shared A N M Nafiz AbeeriD· 1 shared Dominique WuDunniD· 1 shared Gilad KaplaniD· 1 shared Isabelle SermadirasiD· 1 shared James SaveryiD· 1 shared Jared A. DelmariD· 1 shared Jenna G CaldwelliD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBioengineering

Maryam PouryahyaORCID

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2 papers

Recent·Most cited

BioengineeringBriefings in BioinformaticsPeer-reviewedJul 1, 2026

ACCURATE PREDICTION OF ASPARAGINE DEAMIDATION IN BIOLOGICS USING ADVANCED MACHINE LEARNING MODELS

Shafayat Ahmed, Nicole K. Swope, Valentin Stanev…·Maryam Pouryahya

This study develops machine learning models to predict asparagine deamidation in proteins, showing improved accuracy over existing methods and reducing development costs.

DOI 10.1093/bib/bbag363

proteomicsdeep learning

𝕏 PostBluesky

BioinformaticsbioRxivPreprintFeb 2, 2025

Accelerating Antibody Development: Sequence and Structure-Based Models for Predicting Developability Properties through Size Exclusion Chromatography

A N M Nafiz Abeer, Mehdi Boroumand, Isabelle Sermadiras…·Maryam Pouryahya

This study compares sequence and structure-based models for predicting antibody developability properties using SEC assays, identifying the most effective in silico approach.

DOI 10.1101/2025.02.02.636157

protein sequencemachine learning (classical)

𝕏 PostBluesky