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Francesco Di Palma

Research collaborator
Post Doc
Computational and Chemical Biology
Phone
Research center
Biografia

Presently Research collaborator (Postdoc) of Prof. Andrea Cavalli, in the Computational and Chemical Biology group @ IIT, Italian Institute of Technology, in Genova. 

Previous experiences include an External Professional collaboration at the IAC-CNR in Rome, the Bioinformatician and Computational Biologist position held at Neuroservice, a private CRO based in Aix-en-Provence (France), together with my two PostDocs, respectively in the group of Prof. Paolo Ruggerone at Physics Dep. of UniCa(gliari), Italy and at Sapienza University of Rome in the Biocomputing group head by Prof. Anna Tramontano.

I got my PhD in Physics and Chemistry of Biological Systems at the Molecular and Statistical Biophysics group at SISSA, in Trieste (IT), under the supervision of Prof. Giovanni Bussi, and both my Bachelor (Biotech) and Master (Bioinformatics) at the Tor Vergata University of Rome.

All Publications
2023
Di Palma F., Abate C., Decherchi S., Cavalli A.
Ligandability and druggability assessment via machine learning
Wiley Interdisciplinary Reviews: Computational Molecular Science, vol. 13, (no. 5)
Review Journal
2023
Majumdar S., Di Palma F., Spyrakis F., Decherchi S., Cavalli A.
Molecular Dynamics and Machine Learning Give Insights on the Flexibility-Activity Relationships in Tyrosine Kinome
Journal of Chemical Information and Modeling, vol. 63, (no. 15), pp. 4814-4826
2023
Scarano N., Di Palma F., Origlia N., Musumeci F., Schenone S., Spinelli S., Passalacqua M., Zocchi E., Sturla L., Cichero E., Cavalli A.
New Insights into the LANCL2-ABA Binding Mode towards the Evaluation of New LANCL Agonists
Pharmaceutics, vol. 15, (no. 12)
Article Journal
2022
Di Palma F., Decherchi S., Pardo-Avila F., Succi S., Levitt M., Von Heijne G., Cavalli A.
Probing Interplays between Human XBP1u Translational Arrest Peptide and 80S Ribosome
Journal of Chemical Theory and Computation, vol. 18, (no. 3), pp. 1905-1914
2021
Di Palma F., Succi S., Sterpone F., Lauricella M., Perot F., Melchionna S.
Three-stage multiscale modelling of the NMDA neuroreceptor
Molecular Physics, vol. 119, (no. 19-20)