4 citations · 4 across the 2 of their papers we have counts for
3 papers
Learning Latent Protein Languages for Autoregressive Generation
Mahdi Pourmirzaei, Farzaneh Esmaili, Amir Ziashahabi +2
Autoregressive transformers remain comparatively weak for protein sequence and structure generation. We study the role of target representation: amino acid tokens encode residue id…
Prot2Token: A Unified Framework for Protein Modeling via Next-Token Prediction
Mahdi Pourmirzaei, Farzaneh Esmaili, Salhuldin Alqarghuli +6
The diverse nature of protein prediction tasks has traditionally necessitated specialized models, hindering the development of broadly applicable and computationally efficient Prot…
Adapting Segment Anything Model (SAM) through Prompt-based Learning for Enhanced Protein Identification in Cryo-EM Micrographs
Fei He, Zhiyuan Yang, Mingyue Gao +6
Cryo-electron microscopy (cryo-EM) remains pivotal in structural biology, yet the task of protein particle picking, integral for 3D protein structure construction, is laden with ma…