日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Identifying microbial protease allergens through protein language model-guided homology.

通过蛋白质语言模型指导的同源性鉴定微生物蛋白酶过敏原。

Thurimella Kumar, Wu Elena, Li Chenhao, Graham Daniel B, Owens Róisín M, Plichta Damian R, Sokol Caroline L, Xavier Ramnik J, Bacallado Sergio

Protein language models uncover carbohydrate-active enzyme function in metagenomics

蛋白质语言模型揭示宏基因组学中碳水化合物活性酶的功能

Thurimella, Kumar; Mohamed, Ahmed M T; Li, Chenhao; Vatanen, Tommi; Graham, Daniel B; Owens, Róisín M; La Rosa, Sabina Leanti; Plichta, Damian R; Bacallado, Sergio; Xavier, Ramnik J

Gut microbiome and metabolome profiling in Framingham heart study reveals cholesterol-metabolizing bacteria.

弗雷明汉心脏研究的肠道微生物组和代谢组分析揭示了胆固醇代谢细菌

Li Chenhao, Stražar Martin, Mohamed Ahmed M T, Pacheco Julian A, Walker Rebecca L, Lebar Tina, Zhao Shijie, Lockart Julia, Dame Andrea, Thurimella Kumar, Jeanfavre Sarah, Brown Eric M, Ang Qi Yan, Berdy Brittany, Sergio Dallis, Invernizzi Rachele, Tinoco Antonio, Pishchany Gleb, Vasan Ramachandran S, Balskus Emily, Huttenhower Curtis, Vlamakis Hera, Clish Clary, Shaw Stanley Y, Plichta Damian R, Xavier Ramnik J

Protein Language Models Uncover Carbohydrate-Active Enzyme Function in Metagenomics

蛋白质语言模型揭示宏基因组学中碳水化合物活性酶的功能

Thurimella, Kumar; Mohamed, Ahmed M T; Graham, Daniel B; Owens, Róisín M; La Rosa, Sabina Leanti; Plichta, Damian R; Bacallado, Sergio; Xavier, Ramnik J