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Bioinformatics (Oxford, England)|January 20, 2026
Unavailability of experimental 3D structural data on protein folding dynamics and necessity for a new generation of structure prediction methods in this contextAydin Wells, Khalique Newaz, Jennifer Morones, et al.BMC Bioinformatics|June 15, 2019
AutoCryoPicker: an unsupervised learning approach for fully automated single particle picking in Cryo-EM imagesAdil Al-Azzawi, Anes Ouadou, John J Tanner, et al.Bioinformatics (Oxford, England)|January 13, 2023
3D-equivariant graph neural networks for protein model quality assessmentChen Chen, Xiao Chen, Alex Morehead, et al.Methods in Molecular Biology (Clifton, N.J.)|July 5, 2020
The MULTICOM Protein Structure Prediction Server Empowered by Deep Learning and Contact Distance PredictionJie Hou, Tianqi Wu, Zhiye Guo, et al.Proteins|September 16, 2015
Massive integration of diverse protein quality assessment methods to improve template based modeling in CASP11Renzhi Cao, Debswapna Bhattacharya, Badri Adhikari, et al.BMC Genomics|December 9, 2017
A deep auto-encoder model for gene expression predictionRui Xie, Jia Wen, Andrew Quitadamo, et al.Scientific Reports|August 1, 2018
A first-principles study of the effect of vacancy defects on the electronic structures of greigite (Fe3S4)Min Wu, Xia Zhou, Shibei Huang, et al.BMC Bioinformatics|July 19, 2022
Multi-head attention-based U-Nets for predicting protein domain boundaries using 1D sequence features and 2D distance mapsSajid Mahmud, Zhiye Guo, Farhan Quadir, et al.Journal of Hazardous Materials|April 9, 2024
Integrating transformer-based machine learning with SERS technology for the analysis of hazardous pesticides in spinachMehdi Hajikhani, Akashata Hegde, John Snyder, et al.Arxiv|June 9, 2022
Deep Learning Prediction of Severe Health Risks for Pediatric COVID-19 Patients with a Large Feature Set in 2021 BARDA Data ChallengeSajid Mahmud, Elham Soltanikazemi, Frimpong Boadu, et al.Pageof 56