Incorporation of ligand-receptor binding-site models and transistor-based sensors for resolving dissociation constants and number of binding sites

被引:6
|
作者
Wang, Yu-Lin [1 ]
Huang, Chih-Cheng [1 ]
Kang, Yen-Wen [1 ]
机构
[1] Natl Tsing Hua Univ, Inst Nanoengn & Microsyst, Hsinchu 30013, Taiwan
关键词
molecular biophysics; dissociation; biochemistry; high electron mobility transistors; aluminium compounds; gallium compounds; III-V semiconductors; wide band gap semiconductors; biosensors; enzymes; drugs; ligand-receptor binding site models; AlGaN-GaN; cost-effective drug developments; biomolecular interaction; human immunodeficiency virus drugs; peptides; human immunodeficiency virus type 1 reverse transcriptase enzymes; antibodies; HEMT; binding affinity; dissociation constants; transistor-based sensors; ELECTRICAL DETECTION; AFFINITY;
D O I
10.1049/iet-nbt.2013.0031
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Ligand-receptor binding site model is used to elucidate the binding affinity between ligands and receptors, with transistor-based sensors. AlGaN/GaN high electron mobility transistors (HEMTs) were immobilised with antibodies and human immunodeficiency virus type 1 reverse transcriptase enzymes to detect peptides and human immunodeficiency virus drugs, respectively. The signals generated by the sensors because of the binding of the ligands to the receptors were fitted into the binding-site models and analysed. The dissociation constants of the ligand-receptor pairs and the number of the binding sites on the receptors were revealed. The results are very consistent with the data reported by the other methods from the literatures. The incorporation of the HEMTs and the binding-site models is demonstrated to be useful for studying the mechanism of the biomolecular interaction and the application for quick and cost-effective drug developments.
引用
收藏
页码:10 / 17
页数:8
相关论文
共 9 条
  • [1] Identification of ligand-receptor binding affinity using AlGaN/GaN high electron mobility transistors and binding-site models
    Wang, Yu-Lin
    Huang, Chih-Cheng
    Hsu, You-Ren
    Kang, Yen-Wen
    2013 8TH ANNUAL IEEE INTERNATIONAL CONFERENCE ON NANO/MICRO ENGINEERED AND MOLECULAR SYSTEMS (IEEE NEMS 2013), 2013, : 532 - 537
  • [2] MATHEMATICAL-MODELS FOR LIGAND-RECEPTOR BINDING - REAL SITES, GHOST SITES
    KLOTZ, IM
    HUNSTON, DL
    JOURNAL OF BIOLOGICAL CHEMISTRY, 1984, 259 (16) : 60 - 62
  • [3] Mutational analysis of the IFNAR1 binding site on IFNα2 reveals the architecture of a weak ligand-receptor binding-site
    Roisman, LC
    Jaitin, DA
    Baker, DP
    Schreiber, G
    JOURNAL OF MOLECULAR BIOLOGY, 2005, 353 (02) : 271 - 281
  • [4] Identification of the amount of binding sites and dissociation constants of a ligand-receptor complex using AlGaN/GaN high electron mobility transistors
    Huang, Chih-Cheng
    Lee, Geng-Yen
    Chyi, Jen-Inn
    Cheng, Hui-Teng
    Hsu, Chen-Pin
    Huang, Yu-Fen
    Wang, Yu-Lin
    ACS Symposium Series, 2013, 1150 : 63 - 76
  • [5] Identification of the Amount of Binding Sites and Dissociation Constants of a Ligand-Receptor Complex Using AlGaN/GaN High Electron Mobility Transistors
    Huang, Chih-Cheng
    Lee, Geng-Yen
    Chyi, Jen-Inn
    Cheng, Hui-Teng
    Hsu, Chen-Pin
    Huang, Yu-Fen
    Wang, Yu-Lin
    INTERACTIONS OF NANOMATERIALS WITH EMERGING ENVIRONMENTAL CONTAMINANTS, 2013, 1150 : 63 - 76
  • [6] Identification of the amount of binding sites and dissociation constants of an ligand-receptor complex using AlGaN/GaN high electron mobility transistors
    Huang, Chih-Cheng
    Lee, Geng-Yen
    Chyi, Jen-Inn
    Cheng, Hui-Teng
    Hsu, Chen-Pin
    Hsu, You-Ren
    Huang, Yu-Fen
    Wang, Yu-Lin
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2012, 244
  • [7] Establishment of models for reliability evaluation of 3CLpro ligand-receptor complexes with different binding sites
    Naumovich, Vladislav
    Grishina, Maria
    Potemkin, Vladimir
    FUTURE MEDICINAL CHEMISTRY, 2022, 14 (07) : 501 - 510
  • [8] Conserved residues in RF-NH2 receptor models identify predicted contact sites in ligand-receptor binding
    Bass, C.
    Katanski, C.
    Maynard, B.
    Zurro, I.
    Mariane, E.
    Matta, M.
    Loi, M.
    Melis, V.
    Capponi, V.
    Muroni, P.
    Setzu, M.
    Nichols, R.
    PEPTIDES, 2014, 53 : 278 - 285
  • [9] Pseq2Sites: Enhancing protein sequence-based ligand binding-site prediction accuracy via the deep convolutional network and attention mechanism
    Seo, Sangmin
    Choi, Jonghwan
    Choi, Seungyeon
    Lee, Jieun
    Park, Chihyun
    Park, Sanghyun
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, 127