The Association of Tetrameric Acetylcholinesterase With ColQ Tail: A Block Normal Mode Analysis

Deqiang Zhang, J. Andrew Andrew McCammon
2005 PLoS Computational Biology  
Acetylcholinesterase (AChE) rapidly hydrolyzes acetylcholine in the neuromuscular junctions and other cholinergic synapses to terminate the neuronal signal. In physiological conditions, AChE exists as tetramers associated with the proline-rich attachment domain (PRAD) of either collagen-like Q subunit (ColQ) or proline-rich membrane-anchoring protein. Crystallographic studies have revealed that different tetramer forms may be present, and it is not clear whether one or both are relevant under
more » ... re relevant under physiological conditions. Recently, the crystal structure of the tryptophan amphiphilic tetramerization (WAT) domain of AChE associated with PRAD ([WAT] 4 PRAD), which mimics the interface between ColQ and AChE tetramer, became available. In this study we built a complete tetrameric mouse [AChE T ] 4 -ColQ atomic structure model, based on the crystal structure of the [WAT] 4 PRAD complex. The structure was optimized using energy minimization. Block normal mode analysis was done to investigate the low-frequency motions of the complex and to correlate the structure model with the two known crystal structures of AChE tetramer. Significant low-frequency motions among the catalytic domains of the four AChE subunits were observed, while the [WAT] 4 PRAD part held the complex together. Normal mode involvement analysis revealed that the two lowest frequency modes were primarily involved in the conformational changes leading to the two crystal structures. The first 30 normal modes can account for more than 75% of the conformational changes in both cases. The evidence further supports the idea of a flexible tetramer model for AChE. This model can be used to study the implications of the association of AChE with ColQ. Citation: Zhang D, McCammon JA (2005) The association of tetrameric acetylcholinesterase with ColQ tail: A block normal mode analysis. PLoS Comput Biol 1(6): e62.
doi:10.1371/journal.pcbi.0010062.eor fatcat:h6ky52prsnawleka7htn7mjc4q