D-Index & Metrics Best Publications

Piero Fariselli

University of Turin
Italy

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 41 Citations 9,491 166 World Ranking 5420 National Ranking 130

Overview

What is he best known for?

The fields of study Piero Fariselli is best known for:

Gene
Amino acid
Enzyme

Piero Fariselli regularly ties together related areas like Protein function in his Gene studies. Piero Fariselli conducted interdisciplinary study in his works that combined Computational biology and ENCODE. In his works, Piero Fariselli undertakes multidisciplinary study on ENCODE and Computational biology. He performs multidisciplinary study in the fields of Genetics and Mutation via his papers. As part of his studies on Artificial intelligence, Piero Fariselli often connects relevant areas like Hidden Markov model. In his articles, he combines various disciplines, including Biochemistry and Protein folding. In his papers, he integrates diverse fields, such as Machine learning and Statistics. In his articles, Piero Fariselli combines various disciplines, including Statistics and Machine learning. With his scientific publications, his incorporates both Data mining and Algorithm.

His most cited work include:

I-Mutant2.0: predicting stability changes upon mutation from the protein sequence or structure (1330 citations)
Transmembrane helices predicted at 95% accuracy (616 citations)
Topology prediction for helical transmembrane proteins at 86% accuracy-Topology prediction at 86% accuracy (589 citations)

What are the main themes of his work throughout his whole career to date

Piero Fariselli bridges between several scientific fields such as Pattern recognition (psychology) and Artificial neural network in his study of Artificial intelligence. Piero Fariselli conducts interdisciplinary study in the fields of Gene and Mutation through his research. He combines Computational biology and Bioinformatics in his research. His work blends Bioinformatics and Computational biology studies together. His research on Biochemistry often connects related topics like Sequence (biology). His research ties Biochemistry and Sequence (biology) together. He merges many fields, such as Genetics and Genome, in his writings. With his scientific publications, his incorporates both Genome and Genetics. In his works, Piero Fariselli performs multidisciplinary study on Machine learning and Stability (learning theory).

Piero Fariselli most often published in these fields:

Gene (60.00%)
Computational biology (55.65%)
Artificial intelligence (53.04%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

I-Mutant2.0: predicting stability changes upon mutation from the protein sequence or structure.

Emidio Capriotti;Piero Fariselli;Rita Casadio.
Nucleic Acids Research (2005)

1520 Citations

Topology prediction for helical transmembrane proteins at 86% accuracy.

Burkhard Rost;Piero Fariselli;Rita Casadio.
Protein Science (1996)

917 Citations

Transmembrane helices predicted at 95% accuracy

Burkhard Rost;Rita Casadio;Piero Fariselli;Chris Sander.
Protein Science (2008)

692 Citations

Functional annotations improve the predictive score of human disease-related mutations in proteins

Remo Calabrese;Emidio Capriotti;Piero Fariselli;Pier Luigi Martelli.
Human Mutation (2009)

564 Citations

ConSeq: the identification of functionally and structurally important residues in protein sequences

Carine Berezin;Fabian Glaser;Josef Rosenberg;Inbal Paz.
Bioinformatics (2004)

482 Citations

BaCelLo: a Balanced subCellular Localization predictor

Andrea Pierleoni;Pier Luigi Martelli;Piero Fariselli;Rita Casadio.
Bioinformatics (2006)

380 Citations

Prediction of protein--protein interaction sites in heterocomplexes with neural networks.

Piero Fariselli;Florencio Pazos;Alfonso Valencia;Rita Casadio.
FEBS Journal (2002)

360 Citations

A three-state prediction of single point mutations on protein stability changes

Emidio Capriotti;Piero Fariselli;Ivan Rossi;Rita Casadio.
BMC Bioinformatics (2008)

304 Citations

Prediction of contact maps with neural networks and correlated mutations

Piero Fariselli;Osvaldo Olmea;Alfonso Valencia;Rita Casadio.
Protein Engineering (2001)

281 Citations

The implications of alternative splicing in the ENCODE protein complement

Michael L. Tress;Pier Luigi Martelli;Adam Frankish;Gabrielle A. Reeves.
Proceedings of the National Academy of Sciences of the United States of America (2007)

244 Citations

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Piero Fariselli

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Overview

What is he best known for?

The fields of study Piero Fariselli is best known for:

His most cited work include:

What are the main themes of his work throughout his whole career to date

Piero Fariselli most often published in these fields:

Best Publications

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