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Investigation of ssDNA binding proteins and protein-ssDNA interactions

单链DNA结合蛋白和蛋白质-单链DNA相互作用的研究

基本信息

批准号：
10203481
负责人：
Jun-tao Guo
金额：
$ 43.59万
依托单位：
UNIVERSITY OF NORTH CAROLINA CHARLOTTE
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-04-01 至 2025-03-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10203481
关键词：
Address Amino Acid Sequence Architecture BRCA2 gene Base Sequence Binding Biological Process Cell Cycle Progression Characteristics Chromosomes Comparative Study Complex Computing Methodologies DNA Damage DNA Repair Gene DNA biosynthesis DNA-Binding Proteins Data Set Evolution Gene Expression Regulation Genetic Recombination Genome Genome Stability Genomic DNA Genomic Instability Investigation Knowledge Lead Learning Life Machine Learning Malignant Neoplasms Malignant neoplasm of ovary Methods Modeling Noise Nucleic Acids Play Predisposition Proteins RNA-Protein Interaction Rad51 recombinase Resources Role SS DNA BP Single-Stranded DNA Specificity Structure Testing Therapeutic Training Transcriptional Regulation Tumor Suppressor Proteins Validation Virus base cancer cell comparative dark matter data resource design ds-DNA follow-up genome integrity loss of function mutation machine learning method malignant breast neoplasm novel prevent protein data bank protein degradation recombinational repair replication factor A small molecule telomere

项目摘要

Project Summary/Abstract Molecular interactions between proteins and single-stranded DNA (ssDNA) play crucial roles in many fundamental biological processes, such as DNA replication, DNA recombination, DNA repair, gene regulation, and genome stability. ssDNA-binding proteins encompass various degrees of binding specificity, ranging from highly specific to non-specific. Despite the critical roles of protein-ssDNA interactions in essential biological processes, the investigation of protein-ssDNA interactions lags far behind other types of protein-nucleic acids interactions, such as protein-double stranded DNA (dsDNA) interaction. Currently there are no comprehensive, well-annotated resources for studying protein- ssDNA interactions. This proposal aims to investigate the mechanism of protein-ssDNA interactions by first constructing well-annotated protein-ssDNA data resources and by performing comparative analysis at two different levels. The first is to compare structural features between protein-ssDNA complexes with different binding specificity. The second is to investigate the similarity/differences between protein- ssDNA and protein-dsDNA complexes. In addition, we propose to predict novel ssDNA binding proteins from the unannotated protein sequences by combining structure-based protein threading methods and sequence-based machine learning approaches.

项目总结/文摘