Inferring primase-DNA specific recognition using a data driven approach

被引：3

作者：

Soffer, Adam ^{[1
,2
,3
]}

Eisdorfer, Sarah A. ^{[1
]}

Ifrach, Morya ^{[1
]}

Ilic, Stefan ^{[1
]}

Afek, Ariel ^{[1
]}

Schussheim, Hallel ^{[1
]}

Vilenchik, Dan ^{[2
,3
]}

Akabayov, Barak ^{[1
,2
]}

机构：

[1] Ben Gurion Univ Negev, Dept Chem, Beer Sheva, Israel

[2] Ben Gurion Univ Negev, Data Sci Res Ctr, Beer Sheva, Israel

[3] Ben Gurion Univ Negev, Sch Comp & Elect Engn, Beer Sheva, Israel

来源：

NUCLEIC ACIDS RESEARCH | 2021年 / 49卷 / 20期

基金：

以色列科学基金会;

关键词：

RNA-POLYMERASE DOMAIN; SINGLE-STRANDED-DNA; PRIMER SYNTHESIS; TEMPLATE RECOGNITION; FUNCTIONAL ELEMENTS; GENE-4; PROTEIN; IN-VIVO; BINDING; HELICASE; SEQUENCE;

D O I：

10.1093/nar/gkab956

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

DNA-protein interactions play essential roles in all living cells. Understanding of how features embedded in the DNA sequence affect specific interactions with proteins is both challenging and important, since it may contribute to finding the means to regulate metabolic pathways involving DNA-protein interactions. Using a massive experimental benchmark dataset of binding scores for DNA sequences and a machine learning workflow, we describe the binding to DNA of 17 primase, as a model system for specific DNA-protein interactions. Effective binding of 17 primase to its specific DNA recognition sequences triggers the formation of RNA primers that serve as Okazaki fragment start sites during DNA replication.

引用

页码：11447 / 11458

页数：12

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