Tamás Hegedűs

The paper evaluates AlphaFold's predictions of transmembrane protein complexes, finding that while most show plausible membrane geometry, some have inconsistencies and limitations in predicting lipid interactions.

This study shows the SARS-CoV-2 E protein disrupts ER calcium homeostasis via SERCA inhibition, leading to autophagy-related membrane remodeling.

The paper shows TWD1 enhances IAA transport by isomerizing the E1007-P1008 bond in ABCB1, while not affecting BL transport, revealing a mechanism that prioritizes auxin over brassinosteroid transport.

pLM-SAV predicts pathogenic SAVs using delta-embeddings from protein language models, achieving high performance on labeled data and improving ambiguous predictions over AlphaMissense.

The paper shows that mutation of L704 in ABCG36 affects substrate specificity by altering transport of IBA and CLX, with molecular dynamics supporting a quality control role.

The paper evaluates AlphaMissense's performance in predicting pathogenicity of missense variants across diverse protein groups and introduces a web resource for access.

The paper collects and predicts structures of ABC transmembrane proteins using AlphaFold2 and presents them via a web application.

3D-Beacons provides a federated network to unify access to protein structure data from multiple sources, enabling comparative analysis of models.

This study evaluates AlphaFold2's performance in predicting transmembrane protein structures and finds it highly accurate even for TM proteins.