Alessandro Pandini

Publication Activity (10 Years)

Years Active: 2007-2021
Publications (10 Years): 5

Top Topics

Biological Data

Protein Protein

Cellular Processes

Top Venues

PLoS Comput. Biol.

J. Chem. Inf. Model.

Publications

Eunice Cho, Margarida Rosa, Ruhi Anjum, Saman Mehmood, Mariya Soban, Moniza Mujtaba, Khair Bux, Syed T. Moin, Mohammad Tanweer, Sarath Dantu, Alessandro Pandini, Junqi Yin, Heng Ma, Arvind Ramanathan, Barira Islam, Antonia S. J. S. Mey, Debsindhu Bhowmik, Shozeb M. Haider
Dynamic Profiling of β-Coronavirus 3CL Mpro Protease Ligand-Binding Sites. J. Chem. Inf. Model. 61 (6) (2021)
Alessandro Pandini, Howard Schulman, Shahid Khan
Conformational coupling by trans-phosphorylation in calcium calmodulin dependent kinase II. PLoS Comput. Biol. 15 (5) (2019)
Mihai Teletin, Gabriela Czibula, Maria-Iuliana Bocicor, Silvana Iuliana Albert, Alessandro Pandini
Deep Autoencoders for Additional Insight into Protein Dynamics. ICANN (2) (2018)
Stefano Motta, Claudia Minici, Dario Corrada, Laura Bonati, Alessandro Pandini
Ligand-induced perturbation of the HIF-2α: ARNT dimer dynamics. PLoS Comput. Biol. 14 (2) (2018)
Matteo Tiberti, Alessandro Pandini, Franca Fraternali, Arianna Fornili
In silico identification of rescue sites by double force scanning. Bioinform. 34 (2) (2018)
Alessandro Pandini, Arianna Fornili, Franca Fraternali, Jens Kleinjung
GSATools: analysis of allosteric communication and functional local motions using a structural alphabet. Bioinform. 29 (16) (2013)
Domenico Fraccalvieri, Alessandro Pandini, Fabio Stella, Laura Bonati
Conformational and functional analysis of molecular dynamics trajectories by Self-Organising Maps. BMC Bioinform. 12 (2011)
Annalisa Bordogna, Alessandro Pandini, Laura Bonati
Predicting the accuracy of protein-ligand docking on homology models. J. Comput. Chem. 32 (1) (2011)
Alessandro Pandini, Arianna Fornili, Jens Kleinjung
Structural alphabets derived from attractors in conformational space. BMC Bioinform. 11 (2010)
Alessandro Pandini, Laura Bonati, Franca Fraternali, Jens Kleinjung
MinSet: a general approach to derive maximally representative database subsets by using fragment dictionaries and its application to the SCOP database. Bioinform. 23 (4) (2007)