Shahram Mesdaghi

This study uses AlphaFold 3 scores to assess gene model quality in three species, finding they strongly favor curated models and suggest combining scores from multiple tools improves accuracy.

This paper evaluates AlphaFold 3 and other methods in predicting α-synuclein polymorphs using a reference set of known structures and finds they can generate fibril-like models, though performance varies with template use.

The paper investigates how variants in OCA2 exon 10 affect splicing and pigmentation, showing that some variants increase exon skipping and contribute to hypopigmentation.

The paper evaluates AlphaFold 2's performance on repeat proteins, finding it predicts confident but unrealistic beta-solenoid structures, unlike other methods.

This study uses molecular dynamics simulations and AlphaFold2 models to investigate MfgE8 conformations and how they affect medin cleavage site accessibility.

The paper uses AlphaFold2 to predict structures of three uncharacterized apicoplast proteins and suggests their potential molecular functions as transporters.

The paper uses deep learning to predict structures and functions of hypothetical proteins in Pandoraviruses, identifying some functional roles but finding many remain unclear.

This study uses computational structural biology to reveal the topology and function of Oca2, showing it is a Na+/dicarboxylate symporter with a unique structure and potential role in melanosomal trafficking.

The paper uses structural bioinformatics to predict the structure and function of Tmem41b and its homologues, identifying them as potential transporters with H+ antiporter activity.