György Ferenczy

Dr. György Ferenczy

orcid

Research Focus & Metrics

Academic Career Length

41Years (1986-Present)

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

Representative Publications

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1 June 1995 in Chemical Reviews
Verified
Journal Article
Closed access
GNGabor Naray-Szabo
Gabor Naray-Szabo
GFGyörgy Ferenczy
György Ferenczy

1 March 1994 in Journal of Computational Chemistry
Verified
Journal Article
Closed access
PDF file
VTVincent Théry
Vincent Théry
DRDaniel Rinaldi
Daniel Rinaldi
JRJean‐Louis Rivail
Jean‐Louis Rivail
BMBernard Maigret
Bernard Maigret
GFGyörgy Ferenczy
György Ferenczy

16 May 2016 in Journal of Medicinal Chemistry
Verified
Journal Article
Closed access
György M KeserűGyörgy M Keserű
György M Keserű
DEDaniel A. Erlanson
Daniel A. Erlanson
GFGyörgy Ferenczy
György Ferenczy
MHMichael M. Hann
Michael M. Hann
CMChristopher W. Murray
Christopher W. Murray
SPStephen D. Pickett
Stephen D. Pickett

21 April 2022 in Computational and Structural Biotechnology Journal
Verified
Journal Article
Open access
GFGyörgy Ferenczy
György Ferenczy
MKMiklós Kellermayer
Miklós Kellermayer
The role of hydrophobic and polar interactions in providing thermodynamic stability to folded proteins has been intensively studied, but the relative contribution of these interactions to the mechanical stability is less explored. We used steered molecular dynamics simulations with constant-velocity pulling to generate force-extension curves of selected protein domains and monitor hydrophobic surface unravelling upon extension. Hydrophobic contribution was found to vary between one fifth and one third of the total force while the rest of the contribution is attributed primarily to hydrogen bonds. Moreover, hydrophobic force peaks were shifted towards larger protein extensions with respect to the force peaks attributed to hydrogen bonds. The higher importance of hydrogen bonds compared to hydrophobic interactions in providing mechanical resistance is in contrast with the relative importance of the hydrophobic interactions in providing thermodynamic stability of proteins. The different contributions of these interactions to the mechanical stability are explained by the steeper free energy dependence of hydrogen bonds compared to hydrophobic interactions on the relative positions of interacting atoms. Comparative analyses for several protein domains revealed that the variation of hydrophobic forces is modest, while the contribution of hydrogen bonds to the force peaks becomes increasingly important for mechanically resistant protein domains.

11 August 2016 in The Journal of Chemical Physics
Verified
Journal Article
Closed access
BHBence Hégely
Bence Hégely
PNPéter R. Nagy
Péter R. Nagy
GFGyörgy Ferenczy
György Ferenczy
MKMihály Kállay
Mihály Kállay
Exact schemes for the embedding of density functional theory (DFT) and wave function theory (WFT) methods into lower-level DFT or WFT approaches are introduced utilizing orbital localization. First, a simple modification of the projector-based embedding scheme of Manby and co-workers [J. Chem. Phys. 140, 18A507 (2014)] is proposed. We also use localized orbitals to partition the system, but instead of augmenting the Fock operator with a somewhat arbitrary level-shift projector we solve the Huzinaga-equation, which strictly enforces the Pauli exclusion principle. Second, the embedding of WFT methods in local correlation approaches is studied. Since the latter methods split up the system into local domains, very simple embedding theories can be defined if the domains of the active subsystem and the environment are treated at a different level. The considered embedding schemes are benchmarked for reaction energies and compared to quantum mechanics (QM)/molecular mechanics (MM) and vacuum embedding. We conclude that for DFT-in-DFT embedding, the Huzinaga-equation-based scheme is more efficient than the other approaches, but QM/MM or even simple vacuum embedding is still competitive in particular cases. Concerning the embedding of wave function methods, the clear winner is the embedding of WFT into low-level local correlation approaches, and WFT-in-DFT embedding can only be more advantageous if a non-hybrid density functional is employed.

11 June 2018 in Journal of Chemical Information and Modeling
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Journal Article
Closed access
ASAndrea Scarpino
Andrea Scarpino
GFGyörgy Ferenczy
György Ferenczy
György M KeserűGyörgy M Keserű
György M Keserű