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Carlo Camilloni

Carlo Camilloni

D-Index & Metrics

Chemistry

D-Index
51
Citations
13336
World Ranking
13787
National Ranking
469

Overview

Carlo Camilloni is affiliated with the University of Milan in Italy and has an extensive publication record primarily in the fields of biochemistry, genetics, and molecular biology.

The main scientific domains in which Camilloni has contributed include:

  • Biochemistry, Genetics and Molecular Biology

Within these domains, Camilloni's work spans several subfields, notably:

  • Molecular Biology
  • Materials Chemistry
  • Computational Theory and Mathematics
  • Atomic and Molecular Physics, and Optics
  • Physiology

Research topics addressed in Camilloni's work include:

  • Protein Structure and Dynamics
  • Enzyme Structure and Function
  • Computational Drug Discovery Methods
  • RNA and protein synthesis mechanisms
  • Alzheimer's disease research and treatments
  • Receptor Mechanisms and Signaling
  • Glycosylation and Glycoproteins Research

Camilloni has published multiple research articles, with recent noteworthy papers including:

  • Small-molecule sequestration of amyloid-β as a drug discovery strategy for Alzheimer's disease, 2020, Science Advances
  • Refinement of α-Synuclein Ensembles Against SAXS Data: Comparison of Force Fields and Methods, 2021, Frontiers in Molecular Biosciences
  • A kinetic ensemble of the Alzheimer's Aβ peptide, 2021, Nature Computational Science
  • The dynamics of linear polyubiquitin, 2020, Science Advances
  • A Small Molecule Stabilizes the Disordered Native State of the Alzheimer's Aβ Peptide, 2022, ACS Chemical Neuroscience

Their frequent co-authors include:

  • Cristina Paissoni
  • Federico Ballabio
  • Emanuele Scalone
  • Michele Vendruscolo
  • Riccardo Capelli

Camilloni's research has appeared often in several publication venues, such as:

  • Zenodo (CERN European Organization for Nuclear Research)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Biophysical Journal
  • eLife
  • Science Advances

Best Publications

  • PLUMED 2: New feathers for an old bird

    Gareth A. Tribello;Massimiliano Bonomi;Davide Branduardi;Carlo Camilloni

  • PLUMED: a portable plugin for free-energy calculations with molecular dynamics

    Massimiliano Bonomi;Davide Branduardi;Giovanni Bussi;Carlo Camilloni

  • Promoting transparency and reproducibility in enhanced molecular simulations

    M. Bonomi;M. Bonomi;B. Giovanni;C. Camilloni;G.A. Tribello

  • Determination of secondary structure populations in disordered states of proteins using nuclear magnetic resonance chemical shifts.

    Carlo Camilloni;Alfonso De Simone;Wim F Vranken;Michele Vendruscolo

  • Principles of protein structural ensemble determination.

    Massimiliano Bonomi;Gabriella T. Heller;Carlo Camilloni;Michele Vendruscolo

  • MobiDB 3.0: more annotations for intrinsic disorder, conformational diversity and interactions in proteins.

    Damiano Piovesan;Francesco Tabaro;Lisanna Paladin;Marco Necci;Marco Necci

  • Molecular dynamics simulations with replica-averaged structural restraints generate structural ensembles according to the maximum entropy principle

    Andrea Cavalli;Carlo Camilloni;Michele Vendruscolo

  • Urea and Guanidinium Chloride Denature Protein L in Different Ways in Molecular Dynamics Simulations

    C. Camilloni;A. Guerini Rocco;I. Eberini;E. Gianazza

  • Small-molecule sequestration of amyloid-β as a drug discovery strategy for Alzheimer's disease

    Gabriella T. Heller;Francesco A. Aprile;Francesco A. Aprile;Thomas C. T. Michaels;Thomas C. T. Michaels;Ryan Limbocker

  • Towards a structural biology of the hydrophobic effect in protein folding

    Carlo Camilloni;Daniela Bonetti;Angela Morrone;Rajanish Giri

  • A structural ensemble of a ribosome-nascent chain complex during cotranslational protein folding

    Lisa D Cabrita;Lisa D Cabrita;Anaïs M E Cassaignau;Anaïs M E Cassaignau;Hélène M M Launay;Hélène M M Launay;Christopher A Waudby;Christopher A Waudby

  • Dynamic Binding Mode of a Synaptotagmin-1-SNARE Complex in Solution

    Kyle Daniel Brewer;Taulant Bacaj;Andrea Cavalli;Carlo Camilloni

  • Characterization of the free-energy landscapes of proteins by NMR-guided metadynamics

    Daniele Granata;Carlo Camilloni;Michele Vendruscolo;Alessandro Laio

  • The inverted free energy landscape of an intrinsically disordered peptide by simulations and experiments

    Daniele Granata;Daniele Granata;Fahimeh Baftizadeh;Fahimeh Baftizadeh;Johnny Habchi;Celine Galvagnion

  • Simultaneous quantification of protein order and disorder

    Pietro Sormanni;Damiano Piovesan;Gabriella T Heller;Massimiliano Bonomi

  • Metadynamic metainference: Enhanced sampling of the metainference ensemble using metadynamics.

    Massimiliano Bonomi;Carlo Camilloni;Carlo Camilloni;Michele Vendruscolo

  • The s2D method: simultaneous sequence-based prediction of the statistical populations of ordered and disordered regions in proteins.

    Pietro Sormanni;Carlo Camilloni;Piero Fariselli;Michele Vendruscolo

  • Structural basis for terminal loop recognition and stimulation of pri-miRNA-18a processing by hnRNP A1

    Hamed Kooshapur;Nila Roy Choudhury;Bernd Simon;Max Mühlbauer;Max Mühlbauer

  • In-cell NMR characterization of the secondary structure populations of a disordered conformation of α-synuclein within E. coli cells.

    Christopher A. Waudby;Carlo Camilloni;Anthony W. P. Fitzpatrick;Lisa D. Cabrita

  • Cryo-EM structure of cardiac amyloid fibrils from an immunoglobulin light chain AL amyloidosis patient.

    Paolo Swuec;Francesca Lavatelli;Masayoshi Tasaki;Masayoshi Tasaki;Masayoshi Tasaki;Cristina Paissoni

  • Characterization of the Conformational Equilibrium between the Two Major Substates of RNase A Using NMR Chemical Shifts

    Carlo Camilloni;Paul Robustelli;Paul Robustelli;Alfonso De Simone;Alfonso De Simone;Andrea Cavalli

  • Molecular Recognition by Templated Folding of an Intrinsically Disordered Protein

    Angelo Toto;Carlo Camilloni;Rajanish Giri;Rajanish Giri;Maurizio Brunori

  • Networks of Dynamic Allostery Regulate Enzyme Function

    Michael Joseph Holliday;Carlo Camilloni;Geoffrey Stuart Armstrong;Michele Vendruscolo

Frequent Co-Authors

Michele Vendruscolo
Michele Vendruscolo University of Cambridge
Ricardo A. Broglia
Ricardo A. Broglia University of Milan
Stefano Gianni
Stefano Gianni Sapienza University of Rome
Christopher M. Dobson
Christopher M. Dobson University of Cambridge
Martino Bolognesi
Martino Bolognesi University of Milan
Peter Tompa
Peter Tompa Vrije Universiteit Brussel
Michael Sattler
Michael Sattler Technical University of Munich
Maurizio Brunori
Maurizio Brunori Sapienza University of Rome
Per Jemth
Per Jemth Uppsala University
Vittorio Bellotti
Vittorio Bellotti University College London

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