Alexey Aleksandrov

Dr. Alexey Aleksandrov


Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

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

Representative Publications

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9 April 2021 in Science
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DSD. Sorigué
D. Sorigué
KHK. Hadjidemetriou
K. Hadjidemetriou
SBS. Blangy
S. Blangy
GGG. Gotthard
G. Gotthard
ABA. Bonvalet
A. Bonvalet
FBFred Beisson
Fred Beisson
Light makes light work of fatty acids: Photosynthetic organisms are notable for their ability to capture light energy and use it to power biosynthesis. Some algae have gone a step beyond photosynthesis and can use light to initiate enzymatic photodecarboxylation of fatty acids, producing long-chain hydrocarbons. To understand this transformation, Sorigué et al. brought to bear an array of structural, computational, and spectroscopic techniques and fully characterized the catalytic cycle of the enzyme. These experiments are consistent with a mechanism starting with electron transfer from the fatty acid to a photoexcited oxidized flavin cofactor. Decarboxylation yields an alkyl radical, which is then reduced by back electron transfer and protonation rather than hydrogen atom transfer. The wealth of experimental data explains how algae harness light energy to produce alka(e)nes and provides an appealing model system for understanding enzyme-catalyzed photochemistry more generally. Science , this issue p. eabd5687

19 May 2021 in Journal of Chemical Theory and Computation
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ACAnastasia Croitoru
Anastasia Croitoru
SPSang-Jun Park
Sang-Jun Park
AKAnmol Kumar
Anmol Kumar
JLJumin Lee
Jumin Lee
WIWonpil Im
Wonpil Im
AAAlexey Aleksandrov
Alexey Aleksandrov

5 June 2014 in Journal of Chemical Theory and Computation
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Journal Article
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YLYen-Lin Lin
Yen-Lin Lin
AAAlexey Aleksandrov
Alexey Aleksandrov
TSThomas Simonson
Thomas Simonson
BRBenoît Roux
Benoît Roux

3 February 2016 in Journal of Computational Chemistry
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YXYou Xu
You Xu
KVKenno Vanommeslaeghe
Kenno Vanommeslaeghe
AAAlexey Aleksandrov
Alexey Aleksandrov
AMAlexander D. MacKerell
Alexander D. MacKerell
LNLennart Nilsson
Lennart Nilsson
More than 100 naturally occurring modified nucleotides have been found in RNA molecules, in particular in tRNAs. We have determined molecular mechanics force field parameters compatible with the CHARMM36 all‐atom additive force field for all these modifications using the CHARMM force field parametrization strategy. Emphasis was placed on fine tuning of the partial atomic charges and torsion angle parameters. Quantum mechanics calculations on model compounds provided the initial set of target data, and extensive molecular dynamics simulations of nucleotides and oligonucleotides in aqueous solutions were used for further refinement against experimental data. The presented parameters will allow for computational studies of a wide range of RNAs containing modified nucleotides, including the ribosome and transfer RNAs. © 2016 The Authors. Journal of Computational Chemistry Published by Wiley Periodicals, Inc.

1 April 2010 in Journal of Biological Chemistry
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AAAlexey Aleksandrov
Alexey Aleksandrov
TSThomas Simonson
Thomas Simonson
Tyrosine kinases transmit cellular signals through a complex mechanism, involving their phosphorylation and switching between inactive and active conformations. The cancer drug imatinib binds tightly to several homologous kinases, including Abl, but weakly to others, including Src. Imatinib specifically targets the inactive, so-called "DFG-out" conformation of Abl, which differs from the preferred, "DFG-in" conformation of Src in the orientation of a conserved Asp-Phe-Gly (DFG) activation loop. However, recent x-ray structures showed that Src can also adopt the DFG-out conformation and uses it to bind imatinib. The Src/Abl-binding free energy difference can thus be decomposed into two contributions. Contribution i measures the different protein-imatinib interactions when either kinase is in its DFG-out conformation. Contribution ii depends on the ability of imatinib to select or induce this conformation, i.e. on the relative stabilities of the DFG-out and DFG-in conformations of each kinase. Neither contribution has been measured experimentally. We use molecular dynamics simulations to show that contribution i is very small, 0.2 +/- 0.6 kcal/mol; imatinib interactions are very similar in the two kinases, including long range electrostatic interactions with the imatinib positive charge. Contribution ii, deduced using the experimental binding free energy difference, is much larger, 4.4 +/- 0.9 kcal/mol. Thus, conformational selection, easy in Abl, difficult in Src, underpins imatinib specificity. Contribution ii has a simple interpretation; it closely approximates the stability difference between the DFG-out and DFG-in conformations of apo-Src. Additional calculations show that conformational selection also governs the relative binding of imatinib to the kinases c-Kit and Lck. These results should help clarify the current framework for engineering kinase signaling.

9 July 2008 in Journal of Computational Chemistry
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AAAlexey Aleksandrov
Alexey Aleksandrov
TSThomas Simonson
Thomas Simonson