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Showing 1–5 of 5 results

Advanced filters: Author: Rahul Dodhia Clear advanced filters

Rapid and accurate prediction of protein homo-oligomer symmetry using Seq2Symm

Seq2Symm is a sequence-based AI model designed to predict the symmetry of protein structures composed of identical chains, known as homo-oligomers. It surpasses existing methods in accuracy and efficiency, enabling rapid, proteome-scale predictions.

Meghana Kshirsagar
Artur Meller
Minkyung Baek
ResearchOpen Access27 Feb 2025
Nature Communications

Volume: 16, P: 1-11
A labeled data set of underwater images of fish and crab species from five mesohabitats in Puget Sound WA USA

Dara M. Farrell
Bridget Ferriss
Rahul Dodhia
ResearchOpen Access13 Nov 2023
Scientific Data

Volume: 10, P: 1-9
Effective deep learning approaches for predicting COVID-19 outcomes from chest computed tomography volumes

Anthony Ortiz
Anusua Trivedi
Juan M. Lavista Ferres
ResearchOpen Access02 Feb 2022
Scientific Reports

Volume: 12, P: 1-10
Multi-modal Language models in bioacoustics with zero-shot transfer: a case study

Zhongqi Miao
Benjamin Elizalde
Juan Lavista Ferres
ResearchOpen Access28 Feb 2025
Scientific Reports

Volume: 15, P: 1-12
Evaluating the generalizability of deep learning image classification algorithms to detect middle ear disease using otoscopy

Al-Rahim Habib
Yixi Xu
Narinder Singh
ResearchOpen Access01 Apr 2023
Scientific Reports

Volume: 13, P: 1-9