In Silico discovery of aptamers with an enhanced library design strategy

被引:13
作者
Chen, Long [1 ]
Zhang, Bibi [1 ]
Wu, Zengrui [1 ]
Liu, Guixia [1 ]
Li, Weihua [1 ]
Tang, Yun [1 ]
机构
[1] East China Univ Sci & Technol, Shanghai Frontiers Sci Ctr Optogenet Tech Cell Met, Sch Pharm, Shanghai 200237, Peoples R China
基金
中国国家自然科学基金;
关键词
Nucleic -acid aptamer; Target secondary structure; Enhanced library; Binding free energy; NUCLEIC-ACIDS; FORCE-FIELD; RNA; SIMULATION; ACCURACY; DOCKING; PROTEIN; FLUORESCENCE; RECOGNIZES; POTENTIALS;
D O I
10.1016/j.csbj.2023.01.002
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
With advances in force fields and algorithms, robust tools have been developed for molecular simulation of three-dimensional structures of nucleic acids and investigation of aptamer-target interactions. The traditional aptamer discovery technique, Systematic Evolution of Ligands by EXponential enrichment (SELEX), continues to suffer from high investment and low return, while in vitro screening by simulated SELEX remains a challenging task, where more accurate structural modeling and enhanced sampling limit the large-scale application of the method. Here, we proposed a modified aptamer enhanced library design strategy to facilitate the screening of target-binding aptamers. In this strategy, a comprehensive analysis of the original complexes and the target secondary structure were used to construct an enhanced initial library for screening. Our enhanced sequence library design strategy based on the target secondary structure explored a certain sequence space while ensuring the accuracy of the structural conformation and the calculation method. In an enhanced library of only a few dozen sequences, four sequences showed a similar or better binding free energy than the original aptamer, with consistently high binding stability over three rounds of multi-timescale simulations, ranging from - 30.27 to - 32.25 kcal/mol. Consequently, the enhanced library strategy based on the target secondary structure is shown to have very significant potential as a new aptamer design and optimization strategy. (c) 2023 The Author(s). Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:1005 / 1013
页数:9
相关论文
共 50 条
[41]   Theoretical design and experimental study of new aptamers with the enhanced binding affinity relying on colorimetric assay for tetracycline detection [J].
Nabavi, Mahtab ;
Housaindokht, Mohammad Reza ;
Bozorgmehr, Mohammad Reza ;
Sadeghi, Abbas .
JOURNAL OF MOLECULAR LIQUIDS, 2022, 349
[42]   Engineering Aptamers with Selectively Enhanced Biostability in the Tumor Microenvironment [J].
Xie, Sitao ;
Wang, Zhimin ;
Fu, Ting ;
Zheng, Liyan ;
Wu, Hui ;
He, Lei ;
Huang, Huidong ;
Yang, Cai ;
Wang, Ruowen ;
Qian, Xu ;
Qiu, Liping ;
Tan, Weihong .
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION, 2022, 61 (31)
[43]   In-Silico Identification of Novel Anti-Inflammatory Inhibitor Molecules Based on a Combination Strategy of Bioinformatic Approaches [J].
Ali, Aarif ;
Malla, Bashir Ahmad ;
Jeelani, Gh ;
Ahmad, Sheikh Bilal ;
Wali, Adil Farooq ;
Rehman, Muneeb U. ;
Nadeem, Ahmed ;
Dar, Mashooq Ahmad .
JOURNAL OF BIOLOGICAL REGULATORS AND HOMEOSTATIC AGENTS, 2023, 37 (12) :7133-7152
[44]   In silico Discovery of Potential Natural Inhibitors against Trypanothione Synthetase in Canine leishmaniasis [J].
Sahoo, Pravas Ranjan ;
Pashupathi, M. ;
Patra, Ritun ;
Anika ;
Komal ;
Kumar, Ajay .
INDIAN JOURNAL OF ANIMAL RESEARCH, 2024, 58 (08) :1340-1345
[45]   Structure-based in silico approaches for drug discovery against Mycobacterium tuberculosis [J].
Kingdon, Alexander D. H. ;
Alderwick, Luke J. .
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2021, 19 :3708-3719
[46]   Targeting MurG enzyme in Klebsiella pneumoniae: An in silico approach to novel antimicrobial discovery [J].
Mahur, Pragati ;
Singh, Amit Kumar ;
Muthukumaran, Jayaraman ;
Jain, Monika .
RESEARCH IN MICROBIOLOGY, 2025, 176 (1-2)
[47]   Revealing the molecular interactions of aptamers that specifically bind to the extracellular domain of HER2 cancer biomarker protein: An in silico assessment [J].
Niazi, Sarfaraj ;
Purohit, Madhusudan ;
Sonawani, Archana ;
Niazi, Javed H. .
JOURNAL OF MOLECULAR GRAPHICS & MODELLING, 2018, 83 :112-121
[48]   In silico and in vitro characterisation and affinity maturation of human red blood cell binding aptamers [J].
Costanzo, Hayley ;
Gooch, James ;
Frascione, Nunzianda .
RSC ADVANCES, 2025, 15 (28) :22505-22523
[49]   Analysis on the in-silico ensemble methods for 3D modelling of ssDNA aptamers [J].
Bachu, Vinay ;
Barman, Kangkana ;
Goswami, Pranab .
BIOPHYSICAL CHEMISTRY, 2023, 303
[50]   Analysis of Foot and Mouth Disease Virus Polyprotein for Multi Peptides Vaccine Design: An In silico Strategy [J].
Ahmed, Ranya Mohmed Sid ;
Almofti, Yassir A. ;
Abd-elrahman, Khoubieb Ali .
JOURNAL OF PURE AND APPLIED MICROBIOLOGY, 2022, 16 (03) :1-16