Prediction and functional characterization of transcriptional activation domains-Reference-Cited by-同舟云学术

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Prediction and functional characterization of transcriptional activation domains

Published:2023-03-22 Issue: Volume: Page:
ISSN:
Container-title:2023 57th Annual Conference on Information Sciences and Systems (CISS)
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Author:

Mahatma Saloni¹,Van den Broeck Lisa¹^ORCID,Morffy Nicholas²^ORCID,Staller Max V³^ORCID,Strader Lucia C²^ORCID,Sozzani Rosangela¹^ORCID

Affiliation:

1. North Carolina State University,Plant and Microbial Biology Department,Raleigh,USA

2. Duke University,Department of Biology,Durham

3. Center for Computational Biology, University of California, Berkeley,Berkeley

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10089615/10089616/10089768.pdf?arnumber=10089768

Reference10 articles.

1. CIDER: Resources to Analyze Sequence-Ensemble Relationships of Intrinsically Disordered Proteins

2. Highly accurate protein structure prediction with AlphaFold

3. Critical assessment of protein intrinsic disorder prediction

4. Critical assessment of protein intrinsic disorder prediction

Cited by 3 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. Identification of plant transcriptional activation domains;Nature;2024-07-17

2. Predicting transcriptional activation domain function using Graph Neural Networks;2024-05-12

3. Clusters of acidic and hydrophobic residues can predict acidic transcriptional activation domains from protein sequence;GENETICS;2023-07-18

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