Survey of Computational Approaches for Prediction of DNA-Binding Residues on Protein Surfaces
Author:
Publisher
Springer New York
Link
http://link.springer.com/content/pdf/10.1007/978-1-4939-7717-8_13
Reference55 articles.
1. Luscombe NM, Austin SE, Berman HM, Thornton JM (2000) An overview of the structures of protein-DNA complexes. Genome Biol 1(1):REVIEWS001
2. Biswas S, Guharoy M, Chakrabarti P (2009) Dissection, residue conservation, and structural classification of protein-DNA interfaces. Protein Struct Funct Bioinformatics 74(3):643–654
3. Ahmad S, Keskin O, Sarai A, Nussinov R (2008) Protein-DNA interactions: structural, thermodynamic and clustering patterns of conserved residues in DNA-binding proteins. Nucleic Acids Res 36(18):5922–5932
4. Zhao H, Yang Y, Zhou Y (2010) Structure-based prediction of DNA-binding proteins by structural alignment and a volume-fraction corrected DFIRE-based energy function. Bioinformatics 26(15):1857–1863
5. Gao M, Skolnick J (2008) DBD-Hunter: a knowledge-based method for the prediction of DNA-protein interactions. Nucleic Acids Res 36(12):3978–3992
Cited by 9 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. Protein-DNA interface hotspots prediction based on fusion features of embeddings of protein language model and handcrafted features;Computational Biology and Chemistry;2023-12
2. An improved DNA-binding hot spot residues prediction method by exploring interfacial neighbor properties;BMC Bioinformatics;2021-05
3. Predicting Hot Spot Residues at Protein–DNA Binding Interfaces Based on Sequence Information;Interdisciplinary Sciences: Computational Life Sciences;2020-10-17
4. Prediction of hot spots in protein–DNA binding interfaces based on supervised isometric feature mapping and extreme gradient boosting;BMC Bioinformatics;2020-09
5. Aplicaciones de las redes neuronales y el deep learning a la ingeniería biomédica;Revista UIS Ingenierías;2020-05-30
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