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CORR
2010
Springer

Optimal Design of a Molecular Recognizer: Molecular Recognition as a Bayesian Signal Detection Problem

13 years 4 months ago
Optimal Design of a Molecular Recognizer: Molecular Recognition as a Bayesian Signal Detection Problem
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 abunda...
Yonatan Savir, Tsvi Tlusty
Added 09 Dec 2010
Updated 09 Dec 2010
Type Journal
Year 2010
Where CORR
Authors Yonatan Savir, Tsvi Tlusty
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