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Piattaforma di Informatica Molecolare

Description

The Molecular Informatics group mainly deals with the identification and optimization of biologically active molecules through the use of in silico techniques. The approaches used range over classical molecular modeling techniques for virtual screening to the combination of modern chemoinformatics in house developed tools. Over the years the team has developed various experiences in the field of medicinal chemistry and computational chemistry. The expertise acquired by team members is synergistically exploited for the creation of molecular libraries, creating and validating reliable theoretical models to be used for subsequent virtual screening of ligands (VLS). The outcome of the models generated and optimised are further validated experimentally through biological or biophysical tests. The molecular informatics group is also involved in the exploration and enrichment of the chemical space to create the most suitable molecular libraries to be used for biological screening campaigns. In recent years, the collaboration with different academic groups from university of Palermo and Vienna allowed the development of approaches based on the use of deep learning for the activity prediction of small molecules. Furthermore, during the last year, the group has set the in silico Biologics platform that will be used for the design and optimisation of biological drugs.

Expertise

– Structure based virtual screening (Docking and Pharmacophore)

– Ligand Based virtual screening (pharmacophore, molecular descriptors based models, QSAR and 3D QSAR)

– Molecular Dynamics

– Dynamic pharmacophore (hybrid technique based on the use of pharmacophores from the molecular dynamics trajectory)

– Chemical Database creation and management

– Chemical data mining

– Machine Intelligence in Drug Design

– Biologics design

Facilities & Equipment

Software

Software

  • Schrödinger suite for small molecule drug discovery
  • Schrödinger suite for biologics drug discovery
  • LigandScout expert suite
  • Autodock and Autodock Vina
  • AlvaDesc/AlvaModel
  • DESMOND (OPLS2005 and OPLS3e, OPLS4)
  • AMBER
  • NAMD
  • VMD
  • GROMACS
  • KNIME

integrated in silico platform

The group has participated to  the creation of an integrated platform (OBIND) for molecular network analysis in collaboration with the Bioinformatics group

 

Contacts:

uperricone@fondazionerimed.com

Collaboration:

  • University of Vienna (Pharmaceutical Chemistry Dep.), Austria
  • Universitè de Paris Cité, France
  • Università di Napoli Federico II, Italy
  • Univeristà degli Studi di Verona, Italy
  • Consiglio Nazionale delle Ricerche IFT-CNR, Palermo, Italy
  • Univeristà degli Studi di Palermo, Italy

Hardware

Hardware

  • 6 Workstations
  • Server: 80 cores e 2 x NVIDIA Tesla K80
  • Server: 96 cores e 2 x NVIDIA A100

Calculation capability:

    • Library optimisation  ∼ 6,000 molecules/min
    • Virtual Screening HTVS  ∼ 5,000molecules/min
    • Virtual screening SP ∼ 1,500 molecules/min
    • Molecular Dynamics ∼ 200 ns/day/Card (on 40,000 atoms system)

Publications

Journal Paper
Dynamic‐Shared Pharmacophore Approach As Tool To Design New Allosteric PRC2 Inhibitors, Targeting EED Binding Pocket
Jessica Lombino †, Maria Rita Gulotta, PhD , Giada de Simone , , Maria De Rosa, PhD , Daniela Carbone , Barbara Parrino , Stella Cascioferro , Patrizia Diana , Alessandro Padova , Ugo Perricone, Ph.D.
Molecular Informatics, 40(2):2000148, 2021
https://doi.org/10.1002/minf.202000148
Journal Paper
3-(6-Phenylimidazo [2,1-B][1,3,4]Thiadiazol-2-Yl)-1H-Indole Derivatives As New Anticancer Agents In The Treatment Of Pancreatic Ductal Adenocarcinoma
Stella Cascioferro †, Giovanna Li Petri , Barbara Parrino , Btissame El Hassouni , Daniela Carbone , Vincenzo Arizza , Ugo Perricone, Ph.D. , Alessandro Padova , Nicola Funel , Godefridus J. Peters , Girolamo Cirrincione , Elisa Giovannetti *, Patrizia Diana *
Molecules, 25: 329, 2020
https://doi.org/10.3390/molecules25020329
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