Fabio Lolicato

Dr. Fabio Lolicato

1. Biochemie‐Zentrum Heidelberg, University of Heidelberg, 69120 Heidelberg, Germany
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Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

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

Representative Publications

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3 December 2020 in ACS Chemical Neuroscience
Verified
Journal Article
Closed access
MSMichele F. Sciacca
Michele F. Sciacca
FLFabio Lolicato
Fabio Lolicato
CTCarmelo Tempra
Carmelo Tempra
FSFederica Scollo
Federica Scollo
BIKASH SAHOOBIKASH SAHOO
BIKASH SAHOO
Carmelo La RosaCarmelo La Rosa
Carmelo La Rosa

31 March 2023 in Cell Host & Microbe
Verified
Journal Article
Closed access
SKSteffen Klein
Steffen Klein
GGGonen Golani
Gonen Golani
FLFabio Lolicato
Fabio Lolicato
CLCarmen Lahr
Carmen Lahr
DBDaniel Beyer
Daniel Beyer
PCPetr Chlanda
Petr Chlanda

12 October 2017 in Journal of Chemical Information and Modeling
Verified
Journal Article
Open access
RDReinis Danne
Reinis Danne
Chetan PoojariChetan Poojari
Chetan Poojari
HMHector Martinez-Seara
Hector Martinez-Seara
SRSami Rissanen
Sami Rissanen
FLFabio Lolicato
Fabio Lolicato
IVIlpo Vattulainen
Ilpo Vattulainen
Carbohydrates constitute a structurally and functionally diverse group of biological molecules and macromolecules. In cells they are involved in, e.g., energy storage, signaling, and cell–cell recognition. All of these phenomena take place in atomistic scales, thus atomistic simulation would be the method of choice to explore how carbohydrates function. However, the progress in the field is limited by the lack of appropriate tools for preparing carbohydrate structures and related topology files for the simulation models. Here we present tools that fill this gap. Applications where the tools discussed in this paper are particularly useful include, among others, the preparation of structures for glycolipids, nanocellulose, and glycans linked to glycoproteins. The molecular structures and simulation files generated by the tools are compatible with GROMACS.

1 July 2016 in Biophysical Journal
Verified
Journal Article
Closed access
MSMichele Francesco Maria Sciacca
Michele Francesco Maria Sciacca
FLFabio Lolicato
Fabio Lolicato
GMGiacomo Di Mauro
Giacomo Di Mauro
DMDanilo Milardi
Danilo Milardi
LDLuisa D'Urso
Luisa D'Urso
Carmelo La RosaCarmelo La Rosa
Carmelo La Rosa

19 July 2017 in eLife
Verified
Journal Article
Open access
JSJulia P Steringer
Julia P Steringer
SLSascha Lange
Sascha Lange
SČSabína Čujová
Sabína Čujová
RŠRadek Šachl
Radek Šachl
Chetan PoojariChetan Poojari
Chetan Poojari
WNWalter Nickel
Walter Nickel
FGF2 is secreted from cells by an unconventional secretory pathway. This process is mediated by direct translocation across the plasma membrane. Here, we define the minimal molecular machinery required for FGF2 membrane translocation in a fully reconstituted inside-out vesicle system. FGF2 membrane translocation is thermodynamically driven by PI(4,5)P2-induced membrane insertion of FGF2 oligomers. The latter serve as dynamic translocation intermediates of FGF2 with a subunit number in the range of 8-12 FGF2 molecules. Vectorial translocation of FGF2 across the membrane is governed by sequential and mutually exclusive interactions with PI(4,5)P2 and heparan sulfates on opposing sides of the membrane. Based on atomistic molecular dynamics simulations, we propose a mechanism that drives PI(4,5)P2 dependent oligomerization of FGF2. Our combined findings establish a novel type of self-sustained protein translocation across membranes revealing the molecular basis of the unconventional secretory pathway of FGF2.

9 June 2017 in ACS Chemical Neuroscience
Verified
Journal Article
Closed access
MSMichele Francesco Maria Sciacca
Michele Francesco Maria Sciacca
Valeria RomanucciValeria Romanucci
Valeria Romanucci
AZArmando Zarrelli
Armando Zarrelli
IMIrene Monaco
Irene Monaco
FLFabio Lolicato
Fabio Lolicato
Danilo MilardiDanilo Milardi
Danilo Milardi