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

Leveraging learned representations and multitask learning for lysine methylation site discovery

利用学习到的表征和多任务学习进行赖氨酸甲基化位点发现

Charih, François; Boulter, Mullen; Biggar, Kyle K; Green, James R

Machine learning-driven prediction of substrates for enzymes introducing or removing protein post-translational modifications

利用机器学习预测引入或去除蛋白质翻译后修饰的酶的底物

Ridgeway, Nashira H; Chopra, Anand; Lukinović, Valentina; Feldman, Michal; Charih, François; Levy, Dan; Green, James R; Biggar, Kyle K

Sequence-Based Protein-Protein Interaction Prediction and Its Applications in Drug Discovery

基于序列的蛋白质-蛋白质相互作用预测及其在药物发现中的应用

Charih, François; Green, James R; Biggar, Kyle K

Systematic in vitro optimization of antimicrobial peptides against Escherichia coli

抗大肠杆菌抗菌肽的系统体外优化

Ali Shukri, Amanda C Carroll, Ryan Collins, Francois Charih, Alex Wong, Kyle K Biggar

Assessing sequence-based protein-protein interaction predictors for use in therapeutic peptide engineering

评估基于序列的蛋白质-蛋白质相互作用预测器在治疗性肽工程中的应用

Charih, François; Biggar, Kyle K; Green, James R

Proteome-wide Prediction of Lysine Methylation Leads to Identification of H2BK43 Methylation and Outlines the Potential Methyllysine Proteome

蛋白质组范围内赖氨酸甲基化的预测可鉴定出 H2BK43 甲基化并概述潜在的甲基赖氨酸蛋白质组

Kyle K Biggar, Francois Charih, Huadong Liu, Yasser B Ruiz-Blanco, Leanne Stalker, Anand Chopra, Justin Connolly, Hemanta Adhikary, Kristin Frensemier, Matthew Hoekstra, Marek Galka, Qi Fang, Christopher Wynder, William L Stanford, James R Green, Shawn S-C Li

Data-Driven Audiogram Classification for Mobile Audiometry

移动听力测试的数据驱动型听力图分类

Charih, François; Bromwich, Matthew; Mark, Amy E; Lefrançois, Renée; Green, James R

Using Machine Learning and Targeted Mass Spectrometry to Explore the Methyl-Lys Proteome

利用机器学习和靶向质谱法探索甲基赖氨酸蛋白质组

Francois Charih, James R Green, Kyle K Biggar