Prediction of disulfide connectivity in proteins with machine-learning methods and correlated mutations

被引：0
|
作者：
Castrense Savojardo
Piero Fariselli
Pier Luigi Martelli
Rita Casadio
机构：
[1] University of Bologna,Department of Computer Science and Engineering
[2] University of Bologna,Biocomputing Group
[3] CIRI-Life Science and Health Technologies/Department of Biology,undefined
来源：
BMC Bioinformatics | / 14卷
关键词：
Mutual Information; Disulfide Bond; Support Vector Regression; Bonding State; Average Mutual Information;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
下载
收藏
相关论文
共 50 条
  • [41] Prediction of side chain Orientations in proteins by statistical machine learning methods
    Yan, Aimin
    Kloczkowski, Andrzej
    Hofmann, Heike
    Jernigan, Robert L.
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2007, 25 (03): : 275 - 287
  • [42] VacPred: Sequence-based prediction of plant vacuole proteins using machine-learning techniques
    Arvind Kumar Yadav
    Deepak Singla
    Journal of Biosciences, 2020, 45
  • [43] VacPred: Sequence-based prediction of plant vacuole proteins using machine-learning techniques
    Yadav, Arvind Kumar
    Singla, Deepak
    JOURNAL OF BIOSCIENCES, 2020, 45 (01)
  • [44] Machine-Learning Based TCP Security Action Prediction
    Zhao, Quanling
    Sun, Jiawei
    Ren, Hongjia
    Sun, Guodong
    2020 5TH INTERNATIONAL CONFERENCE ON MECHANICAL, CONTROL AND COMPUTER ENGINEERING (ICMCCE 2020), 2020, : 1325 - 1329
  • [45] Prediction of Nucleophilicity and Electrophilicity Based on a Machine-Learning Approach
    Liu, Yidi
    Yang, Qi
    Cheng, Junjie
    Zhang, Long
    Luo, Sanzhong
    Cheng, Jin-Pei
    CHEMPHYSCHEM, 2023, 24 (14)
  • [46] Machine-Learning Prediction of Underwater Shock Loading on Structures
    Zhang, Mou
    Drikakis, Dimitris
    Li, Lei
    Yan, Xiu
    COMPUTATION, 2019, 7 (04)
  • [47] An investigation on machine-learning models for the prediction of cyanobacteria growth
    Giere, Johannes
    Riley, Derek
    Nowling, R. J.
    McComack, Joshua
    Sander, Hedda
    FUNDAMENTAL AND APPLIED LIMNOLOGY, 2020, 194 (02) : 85 - 94
  • [48] Machine-Learning Applications in Structural Response Prediction: A Review
    Afshar, Aref
    Nouri, Gholamreza
    Ghazvineh, Shahin
    Hosseini Lavassani, Seyed Hossein
    PRACTICE PERIODICAL ON STRUCTURAL DESIGN AND CONSTRUCTION, 2024, 29 (03)
  • [49] Machine-learning techniques for the prediction of protein–protein interactions
    Debasree Sarkar
    Sudipto Saha
    Journal of Biosciences, 2019, 44
  • [50] Machine-learning models for prediction of sepsis patients mortality
    Bao, C.
    Deng, F.
    Zhao, S.
    MEDICINA INTENSIVA, 2023, 47 (06) : 315 - 325
12345