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

DNA-PKcs inhibitor AZD7648 reveals sgRNA cross-contaminants and enhanced sensitivity of genome engineering off-target activity in HSPCs

DNA-PKcs抑制剂AZD7648揭示了sgRNA交叉污染,并增强了造血干细胞中基因组工程脱靶活性的敏感性

White, Nathan; Hu, Yi-Ting; Chalk, John Alexander; Kurgan, Gavin; Naseem, Asma; Schmaljohn, Ellen; Sturgeon, Morgan; Cavazza, Alessia; Thrasher, Adrian James; Turchiano, Giandomenico

A geometric deep learning framework for genome-wide prediction of enzyme turnover number

用于全基因组预测酶周转数的几何深度学习框架

Pan, Tong; Cui, Xin; Koh, Huan Yee; Bi, Yue; Wang, Xiaoyu; Zhang, Yumeng; Hu, Shantong; Webb, Geoffrey I; Kurgan, Lukasz; Zhang, Guimin; Song, Jiangning

Modern resources for intrinsic disorder predictions: protein language models, deep learning, meta-servers, and databases

用于预测固有无序性的现代资源:蛋白质语言模型、深度学习、元服务器和数据库

Wang, Kui; Hu, Gang; Yu, Jing; Kurgan, Lukasz

Periodontal inflammation and tryptophan-kynurenine metabolism in Parkinson's disease

帕金森病中的牙周炎症和色氨酸-犬尿氨酸代谢

Yilmaz, Melis; Bakici, Aslihan; Parlat, Rumeysa; Akpinar, İpek N; Karaaslan, Rabia; Balci, Nur; Toygar, Hilal; Kurgan, Şivge; Serdar, Muhittin A; Kantarcı, Alpdoğan

Towards Ecological Validity When Assessing ADHD Symptoms: Patterns in Automatically Collected, Real-World PC Activity Data

评估多动症症状时如何实现生态效度:基于自动收集的真实世界电脑活动数据的模式

da Costa, Matheus B; Chan, Elizabeth; Langberg, Joshua; Cuber, Isabelle; Jamalinabijan, Fatemeh; Kurgan, Aleksander; Fritz, Thomas; Shepherd, David C

Patient-Specific In Vivo Gene Editing to Treat a Rare Genetic Disease

利用患者特异性体内基因编辑技术治疗罕见遗传疾病

Musunuru, Kiran; Grandinette, Sarah A; Wang, Xiao; Hudson, Taylor R; Briseno, Kevin; Berry, Anne Marie; Hacker, Julia L; Hsu, Alvin; Silverstein, Rachel A; Hille, Logan T; Ogul, Aysel N; Robinson-Garvin, Nancy A; Small, Juliana C; McCague, Sarah; Burke, Samantha M; Wright, Christina M; Bick, Sarah; Indurthi, Venkata; Sharma, Shweta; Jepperson, Michael; Vakulskas, Christopher A; Collingwood, Michael; Keogh, Katie; Jacobi, Ashley; Sturgeon, Morgan; Brommel, Christian; Schmaljohn, Ellen; Kurgan, Gavin; Osborne, Thomas; Zhang, He; Kinney, Kyle; Rettig, Garrett; Barbosa, Christopher J; Semple, Sean C; Tam, Ying K; Lutz, Cathleen; George, Lindsey A; Kleinstiver, Benjamin P; Liu, David R; Ng, Kim; Kassim, Sadik H; Giannikopoulos, Petros; Alameh, Mohamad-Gabriel; Urnov, Fyodor D; Ahrens-Nicklas, Rebecca C

SCREEN: A Graph-based Contrastive Learning Tool to Infer Catalytic Residues and Assess Enzyme Mutations

SCREEN:一种基于图的对比学习工具,用于推断催化残基和评估酶突变

Pan, Tong; Bi, Yue; Wang, Xiaoyu; Zhang, Ying; Webb, Geoffrey I; Gasser, Robin B; Kurgan, Lukasz; Song, Jiangning

Exchange, promiscuity, and orthogonality in de novo designed coiled-coil peptide assemblies

从头设计的卷曲螺旋肽组装体中的交换、混杂性和正交性

Kurgan, Kathleen W; Martin, Freddie J O; Dawson, William M; Brunnock, Thomas; Orr-Ewing, Andrew J; Woolfson, Derek N

Comparative assessment of binding residue predictions in intrinsically disordered regions

对固有无序区域中结合残基预测的比较评估

Basu, Sushmita; Kurgan, Lukasz

Empirical Assessment of Sequence-Based Predictions of Intrinsically Disordered Regions Involved in Phase Separation

基于序列的固有无序区域相分离预测的经验评估

Wu, Xuantai; Wang, Kui; Hu, Gang; Kurgan, Lukasz