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Ava P Amini

Showing results (1-10 of 26) with videos related to

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Nature Computational Science|January 4, 2024
From noise to protein with image modelsAva P Amini, Kevin K Yang
Cell|August 22, 2025
Simplifying protein engineering with deep learningKevin K Yang, Ava P Amini
Plos Computational Biology|January 8, 2025
Benchmarking uncertainty quantification for protein engineeringKevin P Greenman, Ava P Amini, Kevin K Yang
Plos Computational Biology|February 9, 2026
Trainable subnetworks reveal insights into structure knowledge organization in protein language modelsRia Vinod, Ava P Amini, Lorin Crawford, et al.
Genome Biology|April 18, 2025
Zero-shot evaluation reveals limitations of single-cell foundation modelsKasia Z Kedzierska, Lorin Crawford, Ava P Amini, et al.
Current Opinion in Structural Biology|April 20, 2026
Closing the loop: Experimentally validated methods in artificial intelligence-driven protein designClayton W Kosonocky, Sarah Alamdari, Kevin K Yang, et al.
Bioinformatics (Oxford, England)|April 15, 2025
ProtNote: a multimodal method for protein-function annotationSamir Char, Nathaniel Corley, Sarah Alamdari, et al.
Current Opinion in Structural Biology|February 21, 2025
Toward deep learning sequence-structure co-generation for protein designChentong Wang, Sarah Alamdari, Carles Domingo-Enrich, et al.
Plos Computational Biology|May 23, 2023
Deep self-supervised learning for biosynthetic gene cluster detection and product classificationCarolina Rios-Martinez, Nicholas Bhattacharya, Ava P Amini, et al.
Nature Computational Science|January 30, 2026
Improving atlas-scale single-cell annotation models with hierarchical cross-entropy lossSebastiano Cultrera di Montesano, Davide D'Ascenzo, Srivatsan Raghavan, et al.
Pageof 3

Showing results (1-10 of 26) with videos related to

Sort By:
Pageof 3
Nature Computational Science|January 4, 2024
From noise to protein with image modelsAva P Amini, Kevin K Yang
Cell|August 22, 2025
Simplifying protein engineering with deep learningKevin K Yang, Ava P Amini
Plos Computational Biology|January 8, 2025
Benchmarking uncertainty quantification for protein engineeringKevin P Greenman, Ava P Amini, Kevin K Yang
Plos Computational Biology|February 9, 2026
Trainable subnetworks reveal insights into structure knowledge organization in protein language modelsRia Vinod, Ava P Amini, Lorin Crawford, et al.
Genome Biology|April 18, 2025
Zero-shot evaluation reveals limitations of single-cell foundation modelsKasia Z Kedzierska, Lorin Crawford, Ava P Amini, et al.
Current Opinion in Structural Biology|April 20, 2026
Closing the loop: Experimentally validated methods in artificial intelligence-driven protein designClayton W Kosonocky, Sarah Alamdari, Kevin K Yang, et al.
Bioinformatics (Oxford, England)|April 15, 2025
ProtNote: a multimodal method for protein-function annotationSamir Char, Nathaniel Corley, Sarah Alamdari, et al.
Current Opinion in Structural Biology|February 21, 2025
Toward deep learning sequence-structure co-generation for protein designChentong Wang, Sarah Alamdari, Carles Domingo-Enrich, et al.
Plos Computational Biology|May 23, 2023
Deep self-supervised learning for biosynthetic gene cluster detection and product classificationCarolina Rios-Martinez, Nicholas Bhattacharya, Ava P Amini, et al.
Nature Computational Science|January 30, 2026
Improving atlas-scale single-cell annotation models with hierarchical cross-entropy lossSebastiano Cultrera di Montesano, Davide D'Ascenzo, Srivatsan Raghavan, et al.
Pageof 3