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DC Field | Value | Language |
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dc.citation.endPage | 399 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 390 | - |
dc.citation.title | IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING | - |
dc.citation.volume | 2 | - |
dc.contributor.author | Savir, Yonatan | - |
dc.contributor.author | Tlusty, Tsvi | - |
dc.date.accessioned | 2023-12-22T08:38:54Z | - |
dc.date.available | 2023-12-22T08:38:54Z | - |
dc.date.created | 2020-02-20 | - |
dc.date.issued | 2008-06 | - |
dc.description.abstract | Numerous biological functions-such as enzymatic catalysis, the immune response system, and the DNA-protein regulatory network-rely on the ability of molecules to specifically recognize target molecules within a large pool of similar competitors in a noisy biochemical environment. Using the basic framework of signal detection theory, we treat the molecular recognition process as a signal detection problem and examine its overall performance. Thus, we evaluate the optimal properties of a molecular recognizer in the presence of competition and noise. Our analysis reveals that the optimal design undergoes a "phase transition" as the structural properties of the molecules and interaction energies between them vary. In one phase, the recognizer should be complementary in structure to its target (like a lock and a key), while in the other, conformational changes upon binding, which often accompany molecular recognition, enhance recognition quality. Using this framework, the abundance of conformational changes may be explained as a result of increasing the fitness of the recognizer. Furthermore, this analysis may be used in future design of artificial signal processing devices based on biomolecules. | - |
dc.identifier.bibliographicCitation | IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, v.2, no.3, pp.390 - 399 | - |
dc.identifier.doi | 10.1109/JSTSP.2008.923859 | - |
dc.identifier.issn | 1932-4553 | - |
dc.identifier.scopusid | 2-s2.0-47049095258 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/31193 | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/4550566 | - |
dc.identifier.wosid | 000265495200013 | - |
dc.language | 영어 | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | Optimal Design of a Molecular Recognizer: Molecular Recognition as a Bayesian Signal Detection Problem | - |
dc.type | Article | - |
dc.description.isOpenAccess | FALSE | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalResearchArea | Engineering | - |
dc.type.docType | Article | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Bayesian detection | - |
dc.subject.keywordAuthor | conformational changes | - |
dc.subject.keywordAuthor | molecular recognition | - |
dc.subject.keywordAuthor | specificity | - |
dc.subject.keywordPlus | PROTEIN-PROTEIN INTERACTIONS | - |
dc.subject.keywordPlus | CONFORMATIONAL-CHANGES | - |
dc.subject.keywordPlus | INDUCED FIT | - |
dc.subject.keywordPlus | SINGLE-PARAMETER | - |
dc.subject.keywordPlus | CATALYSIS | - |
dc.subject.keywordPlus | BINDING | - |
dc.subject.keywordPlus | SPECIFICITY | - |
dc.subject.keywordPlus | MOTIONS | - |
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