A High-Throughput Screen for Transcription Activation Domains Reveals Their Sequence Features and Permits Prediction by Deep Learning-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A High-Throughput Screen for Transcription Activation Domains Reveals Their Sequence Features and Permits Prediction by Deep Learning

Published:2020-06 Issue:5 Volume:78 Page:890-902.e6
ISSN:1097-2765
Container-title:Molecular Cell
language:en
Short-container-title:Molecular Cell

Author:

Erijman Ariel,Kozlowski Lukasz,Sohrabi-Jahromi Salma,Fishburn James,Warfield Linda,Schreiber Jacob,Noble William S.,Söding Johannes,Hahn Steven

Funder

National Institutes of Health

Deutsche Forschungsgemeinschaft

Publisher

Elsevier BV

Subject

Cell Biology,Molecular Biology

Reference84 articles.

1. Transcriptional transactivation by selected short random peptides attached to lexA-GFP fusion proteins;Abedi;BMC Mol. Biol.,2001

2. Towards better understanding of gradient-based attribution methods for Deep Neural Networks;Ancona;arXiv,2018

3. A high-throughput method to identify trans-activation domains within transcription factor sequences;Arnold;EMBO J.,2018

4. UniProt: a worldwide hub of protein knowledge;Bateman;Nucleic Acids Res.,2019

5. An improved yeast transformation method for the generation of very large human antibody libraries;Benatuil;Protein Eng. Des. Sel.,2010

Cited by 90 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Enigma of Transcriptional Activation Domains;Journal of Molecular Biology;2024-11

2. Transcriptional activation domains interact with ATPase subunits of yeast chromatin remodelling complexes SWI/SNF, RSC and INO80;Current Genetics;2024-09-05

3. Revisiting the model for coactivator recruitment: Med15 can select its target sites independent of promoter-bound transcription factors;Nucleic Acids Research;2024-08-27

4. Systematic discovery of DNA-binding tandem repeat proteins;Nucleic Acids Research;2024-08-27

5. High-throughput affinity measurements of direct interactions between activation domains and co-activators;2024-08-20

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3