SCMHBP: prediction and analysis of heme binding proteins using propensity scores of dipeptides

被引：0
|
作者：
Yi-Fan Liou
Phasit Charoenkwan
Yerukala Sathipati Srinivasulu
Tamara Vasylenko
Shih-Chung Lai
Hua-Chin Lee
Yi-Hsiung Chen
Hui-Ling Huang
Shinn-Ying Ho
机构：
[1] National Chiao Tung University,Institute of Bioinformatics and Systems Biology
[2] National Chiao Tung University,Department of Biological Science and Technology
来源：
BMC Bioinformatics | / 15卷
关键词：
Support Vector Machine; Propensity Score; Dipeptide; Heme Binding; Dipeptide Composition;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [1] SCMHBP: prediction and analysis of heme binding proteins using propensity scores of dipeptides
    Liou, Yi-Fan
    Charoenkwan, Phasit
    Srinivasulu, Yerukala Sathipati
    Vasylenko, Tamara
    Lai, Shih-Chung
    Lee, Hua-Chin
    Chen, Yi-Hsiung
    Huang, Hui-Ling
    Ho, Shinn-Ying
    BMC BIOINFORMATICS, 2014, 15
  • [2] iAMY-SCM: Improved prediction and analysis of amyloid proteins using a scoring card method with propensity scores of dipeptides
    Charoenkwan, Phasit
    Kanthawong, Sakawrat
    Nantasenamat, Chanin
    Hasan, Md Mehedi
    Shoombuatong, Watshara
    GENOMICS, 2021, 113 (01) : 689 - 698
  • [3] SCMMTP: identifying and characterizing membrane transport proteins using propensity scores of dipeptides
    Yi-Fan Liou
    Tamara Vasylenko
    Chia-Lun Yeh
    Wei-Chun Lin
    Shih-Hsiang Chiu
    Phasit Charoenkwan
    Li-Sun Shu
    Shinn-Ying Ho
    Hui-Ling Huang
    BMC Genomics, 16
  • [4] SCMMTP: identifying and characterizing membrane transport proteins using propensity scores of dipeptides
    Liou, Yi-Fan
    Vasylenko, Tamara
    Yeh, Chia-Lun
    Lin, Wei-Chun
    Chiu, Shih-Hsiang
    Charoenkwan, Phasit
    Shu, Li-Sun
    Ho, Shinn-Ying
    Huang, Hui-Ling
    BMC GENOMICS, 2015, 16
  • [5] In silico prediction of heme binding in proteins
    Marson, Noa A.
    Gallio, Andrea E.
    Mandal, Suman K.
    Laskowski, Roman A.
    Raven, Emma L.
    JOURNAL OF BIOLOGICAL CHEMISTRY, 2024, 300 (05)
  • [6] A novel sequence-based predictor for identifying and characterizing thermophilic proteins using estimated propensity scores of dipeptides
    Charoenkwan, Phasit
    Chotpatiwetchkul, Warot
    Lee, Vannajan Sanghiran
    Nantasenamat, Chanin
    Shoombuatong, Watshara
    SCIENTIFIC REPORTS, 2021, 11 (01)
  • [7] A novel sequence-based predictor for identifying and characterizing thermophilic proteins using estimated propensity scores of dipeptides
    Phasit Charoenkwan
    Warot Chotpatiwetchkul
    Vannajan Sanghiran Lee
    Chanin Nantasenamat
    Watshara Shoombuatong
    Scientific Reports, 11
  • [8] Improved prediction and characterization of blood-brain barrier penetrating peptides using estimated propensity scores of dipeptides
    Phasit Charoenkwan
    Pramote Chumnanpuen
    Nalini Schaduangrat
    Pietro Lio’
    Mohammad Ali Moni
    Watshara Shoombuatong
    Journal of Computer-Aided Molecular Design, 2022, 36 : 781 - 796
  • [9] Improved prediction and characterization of blood-brain barrier penetrating peptides using estimated propensity scores of dipeptides
    Charoenkwan, Phasit
    Chumnanpuen, Pramote
    Schaduangrat, Nalini
    Lio, Pietro
    Moni, Mohammad Ali
    Shoombuatong, Watshara
    JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, 2022, 36 (11) : 781 - 796
  • [10] SCMBYK: prediction and characterization of bacterial tyrosine-kinases based on propensity scores of dipeptides
    Tamara Vasylenko
    Yi-Fan Liou
    Po-Chin Chiou
    Hsiao-Wei Chu
    Yung-Sung Lai
    Yu-Ling Chou
    Hui-Ling Huang
    Shinn-Ying Ho
    BMC Bioinformatics, 17
12345