2020
DOI: 10.1016/j.jtbi.2020.110268
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Computational predictive approaches for interaction and structure of aptamers

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Cited by 25 publications
(5 citation statements)
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“…Taking into account the wealth of information provided by computational studies performed in this field [147,148], this gap of information could be filled by systematically investigating the intrinsic structural/dynamics in the unbound state of the aptamers whose structure complexed with proteins is available. Studies of this type conducted on the aptamers targeting the ribosomal S8 protein [143] or NF-κB [144] demonstrated that protein-aptamer recognition may rely on different mechanisms, i.e., induced fit or population selection.…”
Section: Discussionmentioning
confidence: 99%
“…Taking into account the wealth of information provided by computational studies performed in this field [147,148], this gap of information could be filled by systematically investigating the intrinsic structural/dynamics in the unbound state of the aptamers whose structure complexed with proteins is available. Studies of this type conducted on the aptamers targeting the ribosomal S8 protein [143] or NF-κB [144] demonstrated that protein-aptamer recognition may rely on different mechanisms, i.e., induced fit or population selection.…”
Section: Discussionmentioning
confidence: 99%
“…The design of aptamers based on their structure prediction would permit the abandonment of the SELEX process, which acts as a random selection, and the design of aptamers on demand. Furthermore, this approach would allow for the optimisation of their performance in a highly efficient manner [91]. While aptamers have been used in clinical settings to a limited extent, numerous aptamer-based clinical studies are currently underway, with the potential for their wider application in clinical practice [92].…”
Section: Implementation Of Aptamersmentioning
confidence: 99%
“…These have come to solve problems of efficient and successful identification of new or high‐performance aptamers from the combinatorial library using the SELEX technology. Additionally, high cost, labor, and time further limit the SELEX process (Emami et al, 2020 ). These computational methods have revolutionized the separation and identification efficiencies; decreased amplification bias and nonspecific binding; and enabled the expansion of different base types.…”
Section: Future Perspectivementioning
confidence: 99%