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Analyzing the aromatic-aromatic interactions in proteins: A2ID 2.0
被引:2
|作者:
Kumar, Y. Bhargav
[1
,2
]
Kumar, Nandan
[1
]
Vaikundamani, S.
[1
]
Nagamani, Selvaraman
[1
,2
]
Mahanta, Hridoy Jyoti
[1
,2
]
Sastry, G. Madhavi
[3
]
Sastry, G. Narahari
[1
,2
]
机构:
[1] CSIR, North East Inst Sci & Technol, Adv Computat & Data Sci Div, Jorhat 785006, Assam, India
[2] Acad Sci & Innovat Res AcSIR, Ghaziabad 201002, UP, India
[3] Schrodinger Inc, Hyderabad 500081, Telangana, India
关键词:
Proteins;
Aromatic interactions;
Centroid distance;
Interplanar angle;
Database;
PI-PI-INTERACTIONS;
CONFORMATIONAL-ANALYSIS;
STABILITY;
CLUSTERS;
DATABASE;
D O I:
10.1016/j.ijbiomac.2023.127207
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 Aromatic-Aromatic Interactions Database (A2ID) is a comprehensive repository dedicated to documenting aromatic-aromatic (-) networks observed in experimentally determined protein structures. The first version of A2ID was reported in 2011 [Int J Biol Macromol, 2011, 48, 540]. It has undergone a series of significant updates, leading to its current version, which focuses on the identification and analysis of 3,444,619-networks from proteins. The geometrical parameters such as centroid-centroid distances (r) and interplanar angles (phi) were used to identify and characterize-networks. It was observed that among the 84,500 proteins with at least one aromatic-network, about 92.50 % of the instances are found to be either 2(77.34 %) or 3(15.23 %) networks. The analysis of interacting amino acid pairs in 2networks indicated a dominance of PHE residues followed by TYR. The updated version of A2ID incorporates analysis of-networks based on SCOP2 and ECOD classifiers, in addition to the existing SCOP, CATH, and EC classifications. This expanded scope allows researchers to explore the characteristics and functional implications of-networks in protein structures from multiple perspectives. The current version of A2ID along with its extensive dataset and detailed geometric information is publicly accessible using https://acds.neist.res.in/a2idv2.
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页数:9
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