Alexei Finkelstein

Prof. Alexei Finkelstein

Institute of Protein Research, Russian Academy of Sciences, 142290 Pushchino, Moscow, Russia
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Research Focus & Metrics

Academic Career Length

57Years (1970-Present)

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

Representative Publications

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18 August 2004 in Proteins: Structure, Function, and Bioinformatics
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EKElmar Krieger
Elmar Krieger
TDTom Darden
Tom Darden
SNSander B. Nabuurs
Sander B. Nabuurs
Alexei FinkelsteinAlexei Finkelstein
Alexei Finkelstein
GVGert Vriend
Gert Vriend

1 September 2003 in Protein Science
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DIDmitry N. Ivankov
Dmitry N. Ivankov
SGSergiy O. Garbuzynskiy
Sergiy O. Garbuzynskiy
EAEric Alm
Eric Alm
KPKevin Plaxco
Kevin Plaxco
DBDavid Baker
David Baker
Alexei FinkelsteinAlexei Finkelstein
Alexei Finkelstein
Guided by the recent success of empirical model predicting the folding rates of small two‐state folding proteins from the relative contact order (CO) of their native structures, by a theoretical model of protein folding that predicts that logarithm of the folding rate decreases with the protein chain length L as L2/3, and by the finding that the folding rates of multistate folding proteins strongly correlate with their sizes and have very bad correlation with CO, we reexamined the dependence of folding rate on CO and L in attempt to find a structural parameter that determines folding rates for the totality of proteins. We show that the Abs_CO = CO × L, is able to predict rather accurately folding rates for both two‐state and multistate folding proteins, as well as short peptides, and that this Abs_CO scales with the protein chain length as L0.70 ± 0.07 for the totality of studied single‐domain proteins and peptides.

1 April 1998 in Folding and Design
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BRBoris A Reva
Boris A Reva
Alexei FinkelsteinAlexei Finkelstein
Alexei Finkelstein
JSJeffrey Skolnick
Jeffrey Skolnick

28 September 1999 in Proceedings of the National Academy of Sciences
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OGOxana V. Galzitskaya
Oxana V. Galzitskaya
Alexei FinkelsteinAlexei Finkelstein
Alexei Finkelstein
When a protein folds or unfolds, it has to pass through many half-folded microstates. Only a few of them can be seen experimentally. In a two-state transition proceeding with no accumulation of metastable intermediates [Fersht, A. R. (1995)Curr. Opin. Struct. Biol.5, 79–84], only the semifolded microstates corresponding to the transition state can be outlined; they influence the folding/unfolding kinetics. Our aim is to calculate them, provided the three-dimensional protein structure is given. The presented approach follows from the capillarity theory of protein folding and unfolding [Wolynes, P. G. (1997)Proc. Natl. Acad. Sci. USA94, 6170–6175]. The approach is based on a search for free-energy saddle point(s) on a network of protein unfolding pathways. Under some approximations, this search is rapidly performed by dynamic programming and, despite its relative simplicity, gives a good correlation with experiment. The computed folding nuclei look like ensembles of those compact and closely packed parts of the three-dimensional native folds that contain a small number of disordered protruding loops. Their estimated free energy is consistent with the rapid (within seconds) folding and unfolding of small proteins at the point of thermodynamic equilibrium between the native fold and the coil.

1 January 1989 in Protein Engineering, Design and Selection
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Alexei FinkelsteinAlexei Finkelstein
Alexei Finkelstein
JJJoël Janin
Joël Janin

1 October 1989 in Biopolymers
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ESEvgeny I. Shakhnovich
Evgeny I. Shakhnovich
Alexei FinkelsteinAlexei Finkelstein
Alexei Finkelstein