Microproteins: a 3D protein structure prediction analysis

被引:1
|
作者
Thambu, Kishan [1 ]
Glomb, Victoria [1 ]
Trapero, Rolando Hernandez [1 ]
Facelli, Julio C. [1 ,2 ]
机构
[1] Univ Utah, Dept Biomed Informat, Salt Lake City, UT 84112 USA
[2] Univ Utah, Clin & Translat Sci Inst, Salt Lake City, UT USA
来源
关键词
Gene ontology; ligand binding sites; microproteins; protein structure; protein structure prediction; CASP; DISCOVERY; NETWORKS;
D O I
10.1080/07391102.2021.1993343
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
Microproteins are a novel and expanding group of small proteins encoded by less than 100-150 codons that are translated from small open reading frames (smORFs). It has been shown that smORFs and their corresponding microproteins make up a sizable fraction of the genome and proteome, but very little information on microproteins' structural features exists in the literature. In this paper, we present the results of analyzing the predicted structures of 44 microproteins. The results show that this set of microproteins have a different amino acid composition profiles, similar structural characteristics and fewer small-molecule ligand binding sites than regular proteins.
引用
收藏
页码:13738 / 13746
页数:9
相关论文
共 50 条
  • [2] Protein structure prediction in the 3D HP model
    Kanj, Fatima
    Mansour, Nashat
    Khachfe, Hassan
    Abu-Khzam, Faisal
    [J]. 2009 IEEE/ACS INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS, VOLS 1 AND 2, 2009, : 732 - +
  • [3] Application of fuzzy artmap for prediction of protein 3D structure
    Mehta, Bhavin V.
    Roy, Partha
    Rabelo, Luis C.
    [J]. Artificial Neural Networks in Engineering - Proceedings (ANNIE'94), 1994, 4 : 257 - 262
  • [4] MUFOLD: A new solution for protein 3D structure prediction
    Zhang, Jingfen
    Wang, Qingguo
    Barz, Bogdan
    He, Zhiquan
    Kosztin, Ioan
    Shang, Yi
    Xu, Dong
    [J]. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2010, 78 (05) : 1137 - 1152
  • [5] A Memetic Algorithm for 3D Protein Structure Prediction Problem
    Correa, Leonardo
    Borguesan, Bruno
    Farfan, Camilo
    Inostroza-Ponta, Mario
    Dorn, Marcio
    [J]. IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2018, 15 (03) : 690 - 704
  • [6] Amalgamation of 3D structure and sequence information for protein–protein interaction prediction
    Kanchan Jha
    Sriparna Saha
    [J]. Scientific Reports, 10
  • [7] Computational analysis of α-helical membrane protein structure:: implications for the prediction of 3D structural models
    Eyre, TA
    Partridge, L
    Thornton, JM
    [J]. PROTEIN ENGINEERING DESIGN & SELECTION, 2004, 17 (08): : 613 - 624
  • [8] Stochastic Fractal Search Algorithm for 3D Protein Structure Prediction
    Sun, Chuan
    Wei, Zi-qi
    Zhou, Chang-jun
    Wang, Bin
    [J]. INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTER SCIENCE (AICS 2016), 2016, : 156 - 160
  • [9] Improved hybrid optimization algorithm for 3D protein structure prediction
    Zhou, Changjun
    Hou, Caixia
    Wei, Xiaopeng
    Zhang, Qiang
    [J]. JOURNAL OF MOLECULAR MODELING, 2014, 20 (07)
  • [10] 3D Protein Structure Prediction with BSA-TS Algorithm
    Xu, Yan
    Zhou, Changjun
    Zhang, Qiang
    Wang, Bin
    [J]. TRENDS IN APPLIED KNOWLEDGE-BASED SYSTEMS AND DATA SCIENCE, 2016, 9799 : 437 - 450