Analyzing the cation-aromatic interactions in proteins: Cation-aromatic database V2.0

被引:2
作者
Kumar, Y. Bhargav [1 ,2 ]
Kumar, Nandan [1 ]
John, Lijo [1 ]
Mahanta, Hridoy Jyoti [1 ,2 ]
Vaikundamani, S. [1 ]
Nagamani, Selvaraman [1 ,2 ]
Sastry, G. Madhavi [3 ]
Sastry, G. Narahari [1 ,2 ,4 ]
机构
[1] CSIR North East Inst Sci & Technol, Adv Computat & Data Sci Div, Jorhat, Assam, India
[2] Acad Sci & Innovat Res AcSIR, Ghaziabad, Uttar Pradesh, India
[3] Schrodinger Inc, HITEC City, Hyderabad, Telangana, India
[4] CSIR North East Inst Sci & Technol, Adv Computat & Data Sci Div, Jorhat 785006, Assam, India
关键词
amino acids; cation; cation-aromatic motifs; proteins; PI INTERACTIONS; CONTRASTING PREFERENCES; METAL-IONS; DATA-BANK; BINDING; MG2+; LI+; HETEROAROMATICS; DEPENDENCE; SYSTEMS;
D O I
10.1002/prot.26600
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
The cation-aromatic database (CAD) is a comprehensive repository of cation-aromatic motifs found in experimentally determined protein structures, first reported in 2007 [Proteins, 2007, 67, 1179]. The present article is an update of CAD that contains information of approximately 27.26 million cation-aromatic motifs. CAD uses three distance parameters (r, d1, and d2) to determine the position of the cation relative to the centroid of the aromatic residue and classifies the motifs as cation-& pi; or cation-& sigma; interactions. As of June 2023, about 193 936 protein structures were retrieved from Protein Data Bank, and this resulted in the identification of an impressive number of 27 255 817 cation-aromatic motifs. Among these motifs, spherical motifs constituted 94.09%, while cylindrical motifs made up the remaining 5.91%. When considering the interaction of metal ions with aromatic residues, 965 564 motifs are identified. Remarkably, 82.08% of these motifs involved the binding of metal ions to the amino acid HIS. Moreover, the analysis of binding preferences between cations and aromatic residues revealed that the HIS-HIS, PHE-ARG, and TRP-ARG pairs exhibited a preferential geometry. The motif pair HIS-HIS was the most prevalent, accounting for 19.87% of the total, closely followed by TYR-LYS at 10.17%. Conversely, the motif pair TRP-HIS had the lowest occurrence, representing only 4.20% of the total. The data generated help in revealing the characteristics and biological functions of cation-aromatic interactions in biological molecules. The updated version of CAD (Cation-Aromatic Database V2.0) can be accessed at .
引用
收藏
页码:179 / 191
页数:13
相关论文
共 34 条
  • [1] PLIP 2021: expanding the scope of the protein-ligand interaction profiler to DNA and RNA
    Adasme, Melissa F.
    Linnemann, Katja L.
    Bolz, Sarah Naomi
    Kaiser, Florian
    Salentin, Sebastian
    Haupt, V. Joachim
    Schroeder, Michael
    [J]. NUCLEIC ACIDS RESEARCH, 2021, 49 (W1) : W530 - W534
  • [2] [Anonymous], ENZYME NOMENCLATURE
  • [3] MolADI: A Web Server for Automatic Analysis of Protein-Small Molecule Dynamic Interactions
    Bai, Bing
    Zou, Rongfeng
    Chan, H. C. Stephen
    Li, Hongchun
    Yuan, Shuguang
    [J]. MOLECULES, 2021, 26 (15):
  • [4] Protoss: a holistic approach to predict tautomers and protonation states in protein-ligand complexes
    Bietz, Stefan
    Urbaczek, Sascha
    Schulz, Benjamin
    Rarey, Matthias
    [J]. JOURNAL OF CHEMINFORMATICS, 2014, 6
  • [5] Probing the energetic and structural role of amino acid/nucleobase cation-π interactions in protein-ligand complexes
    Biot, C
    Buisine, E
    Kwasigroch, JM
    Wintjens, R
    Rooman, M
    [J]. JOURNAL OF BIOLOGICAL CHEMISTRY, 2002, 277 (43) : 40816 - 40822
  • [6] RCSB Protein Data Bank: powerful new tools for exploring 3D structures of biological macromolecules for basic and applied research and education in fundamental biology, biomedicine, biotechnology, bioengineering and energy sciences
    Burley, Stephen K.
    Bhikadiya, Charmi
    Bi, Chunxiao
    Bittrich, Sebastian
    Chen, Li
    Crichlow, Gregg, V
    Christie, Cole H.
    Dalenberg, Kenneth
    Di Costanzo, Luigi
    Duarte, Jose M.
    Dutta, Shuchismita
    Feng, Zukang
    Ganesan, Sai
    Goodsell, David S.
    Ghosh, Sutapa
    Green, Rachel Kramer
    Guranovic, Vladimir
    Guzenko, Dmytro
    Hudson, Brian P.
    Lawson, Catherine L.
    Liang, Yuhe
    Lowe, Robert
    Namkoong, Harry
    Peisach, Ezra
    Persikova, Irina
    Randle, Chris
    Rose, Alexander
    Rose, Yana
    Sali, Andrej
    Segura, Joan
    Sekharan, Monica
    Shao, Chenghua
    Tao, Yi-Ping
    Voigt, Maria
    Westbrook, John D.
    Young, Jasmine Y.
    Zardecki, Christine
    Zhuravleva, Marina
    [J]. NUCLEIC ACIDS RESEARCH, 2021, 49 (D1) : D437 - D451
  • [7] Aromatic-Aromatic Interactions Database, A2ID: An analysis of aromatic π-networks in proteins
    Chourasia, Mukesh
    Sastry, G. Madhavi
    Sastry, G. Narahari
    [J]. INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES, 2011, 48 (04) : 540 - 552
  • [8] RING 3.0: fast generation of probabilistic residue interaction networks from structural ensembles
    Clementel, Damiano
    Del Conte, Alessio
    Monzon, Alexander Miguel
    Camagni, Giorgia F.
    Minervini, Giovanni
    Piovesan, Damiano
    Tosatto, Silvio C. E.
    [J]. NUCLEIC ACIDS RESEARCH, 2022, 50 (W1) : W651 - W656
  • [9] Cation-π interactions in protein-protein interfaces
    Crowley, PB
    Golovin, A
    [J]. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2005, 59 (02) : 231 - 239
  • [10] Observing Noncovalent Interactions in Experimental Electron Density for Macromolecular Systems: A Novel Perspective for Protein-Ligand Interaction Research
    Ding, Kang
    Yin, Shiqiu
    Li, Zhongwei
    Jiang, Shiju
    Yang, Yang
    Zhou, Wenbiao
    Zhang, Yingsheng
    Huang, Bo
    [J]. JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2022, 62 (07) : 1734 - 1743