Dan V. Nicolau

Prof. Dan V. Nicolau

Faculty of Engineering, McGill University, McConnell Engineering Building, Room 353, 817 Sherbrooke Street West, Montreal, QC, Canada
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Research Focus & Metrics

Academic Career Length

38Years (1989-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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5 February 2010 in Science
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Journal Article
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FBFan Bai
Fan Bai
RBRichard W. Branch
Richard W. Branch
Dan V. NicolauDan V. Nicolau
Dan V. Nicolau
TPTeuta Pilizota
Teuta Pilizota
BSBradley C. Steel
Bradley C. Steel
RBRichard M. Berry
Richard M. Berry
Complex Cooperativity: Cooperativity in multisubunit protein complexes is classically understood in terms of either a concerted model, in which all subunits switch conformation simultaneously, or a sequential model, in which a subunit switches conformation whenever a ligand binds. More recently, a “conformational spread” model has suggested that a conformational coupling between subunits and between subunit and ligand is probabilistic. Using high-resolution optical microscopy, Bai et al. (p. 685 ; see the Perspective by Hilser ) observed multistate switching of the bacterial flagellar switch complex that was previously understood in terms of a concerted allosteric model. The conformational spread model gives quantitative agreement with the data.

1 January 2006 in Molecular and Cellular Biology
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Dan V. NicolauDan V. Nicolau
Dan V. Nicolau
KBKevin Burrage
Kevin Burrage
RPRobert G. Parton
Robert G. Parton
JHJohn F Hancock
John F Hancock
The dynamic lateral segregation of signaling proteins into microdomains is proposed to facilitate signal transduction, but the constraints on microdomain size, mobility, and diffusion that might realize this function are undefined. Here we interrogate a stochastic spatial model of the plasma membrane to determine how microdomains affect protein dynamics. Taking lipid rafts as representative microdomains, we show that reduced protein mobility in rafts segregates dynamically partitioning proteins, but the equilibrium concentration is largely independent of raft size and mobility. Rafts weakly impede small-scale protein diffusion but more strongly impede long-range protein mobility. The long-range mobility of raft-partitioning and raft-excluded proteins, however, is reduced to a similar extent. Dynamic partitioning into rafts increases specific interprotein collision rates, but to maximize this critical, biologically relevant function, rafts must be small (diameter, 6 to 14 nm) and mobile. Intermolecular collisions can also be favored by the selective capture and exclusion of proteins by rafts, although this mechanism is generally less efficient than simple dynamic partitioning. Generalizing these results, we conclude that microdomains can readily operate as protein concentrators or isolators but there appear to be significant constraints on size and mobility if microdomains are also required to function as reaction chambers that facilitate nanoscale protein-protein interactions. These results may have significant implications for the many signaling cascades that are scaffolded or assembled in plasma membrane microdomains.

22 February 2016 in Proceedings of the National Academy of Sciences
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Dan V. NicolauDan V. Nicolau
Dan V. Nicolau
MLMercy Lard
Mercy Lard
TKTill Korten
Till Korten
FDFalco C. M. J. M. van Delft
Falco C. M. J. M. van Delft
MPMalin Persson
Malin Persson
HLHeiner Linke
Heiner Linke
Significance: Electronic computers are extremely powerful at performing a high number of operations at very high speeds, sequentially. However, they struggle with combinatorial tasks that can be solved faster if many operations are performed in parallel. Here, we present proof-of-concept of a parallel computer by solving the specific instance {2, 5, 9} of a classical nondeterministic-polynomial-time complete (“NP-complete”) problem, the subset sum problem. The computer consists of a specifically designed, nanostructured network explored by a large number of molecular-motor-driven, protein filaments. This system is highly energy efficient, thus avoiding the heating issues limiting electronic computers. We discuss the technical advances necessary to solve larger combinatorial problems than existing computation devices, potentially leading to a new way to tackle difficult mathematical problems.

1 March 2007 in Biophysical Journal
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Dan V. NicolauDan V. Nicolau
Dan V. Nicolau
JHJohn F Hancock
John F Hancock
KBKevin Burrage
Kevin Burrage

1 August 1999 in Biophysical Journal
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Journal Article
Closed access
Dan V. NicolauDan V. Nicolau
Dan V. Nicolau
HSHitoshi Suzuki
Hitoshi Suzuki
SMShinro Mashiko
Shinro Mashiko
TTTakahisa Taguchi
Takahisa Taguchi
SYSusumu Yoshikawa
Susumu Yoshikawa

1 July 2011 in Analytical Biochemistry
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Journal Article
Closed access
MBManuela Bartolini
Manuela Bartolini
MNMarina Naldi
Marina Naldi
Jessica FioriJessica Fiori
Jessica Fiori
FVFrancesco Valle
Francesco Valle
FBFabio Biscarini
Fabio Biscarini
VAVincenza Andrisano
Vincenza Andrisano