Skip to Content
Exit Menu

Summary

My research activity focuses on the development and application of computational methods to study protein dynamics and its role in protein-ligand binding, protein-protein interactions, and protein design.

I obtained my PhD in Computational Chemistry at the University of Milan-Bicocca under the supervision of Prof. Laura Bonati. As part of her research group I contributed to the unveil the molecular mechanism of toxic response mediated by binding of dioxins to the Aryl hydrocarbon Receptor. In 2008 I was awarded a Marie Curie Inter European Fellowship to work at the MRC National Institute for Medical Research (NIMR) under the supervision of Dr. Willie R. Taylor and Dr. Jens Kleinjung. From 2011 to 2014 he was a BBSRC-funded postdoctoral research assistant in the group of Prof. Franca Fraternali at King’s College London working on methods to investigate allosteric regulation, and to analyse protein-protein interaction interfaces and networks.

During my career I developed and applied novel approaches combining structural bioinformatics and molecular simulation to address challenging biological questions, especially in relation to protein function, allosteric regulation and drug design. I introduced novel points of view in the definition of the limits and potential of molecular docking on theoretical models and in the use of molecular dynamics for drug design and medicinal chemistry. In particular, I developed an innovative computational method to detect local functional motions and to describe allosteric transmission in protein structures.

Most recently, in collaboration with Dr. Arianna Fornili (QMUL), I contributed to the development of a novel strategy for biasing the sampling of local states to drive the global conformational transitions in proteins. In collaboration with Dr. Shahid Khan (LBNL – Berkeley Lab) and Dr. Willie Taylor, I have contributed to explain the relationships between residue coevolution and molecular dynamics in two bacterial ring assemblies. 

Newest selected publications

Marchetti, F., Moroni, E., Pandini, A. and Colombo, G. (Accepted) 'Machine Learning Prediction of Allosteric Drug Activity from Molecular Dynamics'. The Journal of Physical Chemistry Letters. pp. 3724 - 3732. ISSN: 1948-7185

Journal article

Motta, S., Pandini, A., Fornili, A. and Bonati, L. (2021) 'Reconstruction of ARNT PAS-B Unfolding Pathways by Steered Molecular Dynamics and Artificial Neural Networks'. Journal of Chemical Theory and Computation. ISSN: 1549-9618

Journal article

Meli, M., Pandini, A. and Morra, G. (2021) 'Editorial: Computational Drug Discovery for Targeting of Protein-Protein Interfaces'. Frontiers in Chemistry, 9. pp. 670569. ISSN: 2296-2646

Journal article

Wheatley, P., Gupta, S., Pandini, A., Chen, Y., Petzold, CJ., Ralston, CY., et al. (2020) 'Allosteric Priming of E. coli CheY by the Flagellar Motor Protein FliM'. Biophysical Journal, 119 (6). pp. 1108 - 1122. ISSN: 0006-3495

Journal article

Akere, A., Chen, SH., Liu, X., Chen, Y., Dantu, SC., Pandini, A., et al. (2020) 'Structure-based enzyme engineering improves donor-substrate recognition of Arabidopsis thaliana Glycosyltransferases'. Biochemical Journal, 477 (15). pp. 1 - 27. ISSN: 0264-6021 Open Access Link

Journal article
More publications(34)