Abstract
Molecular recognition, which is essential in processing information in biological systems, takes place in a crowded noisy biochemical environment and requires the recognition of a specific target within a background of various similar competing molecules. We consider molecular recognition as a transmission of information via a noisy channel and use this analogy to gain insights on the optimal, or fittest, molecular recognizer. We focus on the optimal structural properties of the molecules such as flexibility and conformation. We show that conformational changes upon binding, which often occur during molecular recognition, may optimize the detection performance of the recognizer. We thus suggest a generic design principle termed 'conformational proofreading' in which deformation enhances detection. We evaluate the optimal flexibility of the molecular recognizer, which is analogous to the stochasticity in a decision unit. In some scenarios, a flexible recognizer, i.e., a stochastic decision unit, performs better than a rigid, deterministic one. As a biological example, we discuss conformational changes during homologous recombination, the process of genetic exchange between two DNA strands.
| Original language | English |
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| Pages (from-to) | 835-840 |
| Number of pages | 6 |
| Journal | 2009 43Rd Annual Conference On Information Sciences And Systems, Vols 1 And 2 |
| DOIs | |
| Publication status | Published - 2009 |
| Event | 43rd Annual Conference on Information Sciences and Systems - Baltimore, MD Duration: 18 Mar 2009 → 20 Mar 2009 |