Since 2004 we have published 52 peer-reviewed manuscripts in international journal with impact factor and 6 book chapters.
A selected list of papers grouped by topics are reported below.
The complete list
of research articles and book chapters is available at this
Genomic variations and disease
Capriotti E, Montanucci L, Profiti G, Rossi I, Giannuzzi D, Aresu L, Fariselli P. (2019).
Fido-SNP: The first webserver for scoring the impact of single nucleotide variants in the dog genome.
Nucleic Acids Research.
Capriotti E, Fariselli P. (2017).
PhD-SNPg: A webserver and lightweight tool for scoring single nucleotide variants.
Nucleic Acids Research. 45: W247-W252.
Tian R, Basu MK, Capriotti E. (2014).
ContrastRank: a new method for ranking putative cancer driver genes and classification of tumor samples.
Bioinformatics. 30: i572-i578.
Capriotti E, Altman RB, Bromberg Y (2013).
Collective judgment predicts disease-associated single nucleotide variants.
BMC Genomics. 14 Suppl 3:S2.
Calabrese R, Capriotti E, Fariselli P, Martelli PL, Casadio R.
(2009). Functional annotations improve the predictive score of human
disease-related mutations in proteins. Human Mutation.
Capriotti E, Calabrese R, Casadio R. (2006). Predicting the
insurgence of human genetic diseases associated to single point protein
mutations with support vector machines and evolutionary information.
Bioinformatics. 22: 2729-2734.
Protein folding stability and kinetics
Capriotti E, Fariselli P, Rossi I, Casadio R. (2008). A three-state
prediction of single point mutations on protein stability changes.
BMC Bioinfomatics. 9 (Suppl 2): S6.
Capriotti E, Casadio R. (2007). K-Fold: a tool for the prediction of
the protein folding kinetic order and rate.
Bioinformatics. 23: 385-386.
Capriotti E, Fariselli P, Casadio R. (2005). I-Mutant2.0: predicting
stability changes upon mutation from the protein sequence or structure.
Nucleic Acids Research. 33(Web Server issue): W306-W310.
Capriotti E, Fariselli P, Calabrese R, Casadio R. (2005) Predicting
protein stability changes from sequences using support vector machines.
Bioinformatics. 21: ii54-ii58.
Capriotti E, Fariselli, Casadio R (2004). A neural network-based
method for predicting protein stability changes upon single point mutations.
Bioinformatics. 20 (Suppl 1): I63-I68
RNA and protein structure comparison and prediction
Khass M, Blackburn T, Burrows PD, Walter MR, Capriotti E, Schroeder HW Jr.
VpreB serves as an invariant surrogate antigen for selecting immunoglobulin antigen-binding sites. Science
Immunology. 1: aaf6628.
Bau D, Sanyal A, Lajoie BR, Capriotti E, Byron M, Lawrence JB, Dekker J, Marti-Renom MA. (2011). The three-dimensional folding of the alpha-globin gene domain reveals formation of chromatin globules.
Nat Struct Mol Biol. 18: 107-114.
Capriotti E, Ozturk K, Carter H. (2019).
Integrating molecular network with genetic variant interpretation for precision medicine.
WIREs Systems Biology and Medicine.
Tian R, Basu MK, Capriotti E. (2015).
Computational methods and resources for the interpretation of genomic variants in cancer.
BMC Genomics. 16 (Suppl. 8): S7.
Compiani M, Capriotti E. (2013).
Computational and theoretical methods for protein folding.
Biochemistry. 52: 8601-8624.
Capriotti E, Nehrt NL, Kann MG, Bromberg Y. (2012).
Bioinformatics for personal genome interpretation.
Briefings in Bioinformatics. 13; 495-512.
Fernald GH, Capriotti E, Daneshjou R, Karczewski KJ, Altman RB. (2011).
Bioinformatics challenges for personalized medicine.
Bioinformatics. 27; 1741-1748
Capriotti E, Marti-Renom MA. (2008). Computational RNA structure
prediction. Current Bioinformatics. 3: 32-45.