Piero Fariselli
Molecular Biology · 1995–2018
A researcher in the Science corpus: 12 papers; trusts 39 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 100 citations into it; #1,942 of 17,773 by trust here, #4,078 by citations
- Computational Biology & Bioinformatics — 34 citations into it
- Materials Chemistry — 32 citations into it; #1,989 of 11,513 by trust here, #5,762 by citations
- Genetics — 23 citations into it; #2,371 of 6,854 by trust here, #3,220 by citations
- Artificial Intelligence — 7 citations into it
- Cell Biology — 7 citations into it
- Computational Theory and Mathematics — 7 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Piero Fariselli trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Burkhard Rost
- Christopher Sander
- David C. Jones
- Reinhard Schneider
- Emidio Capriotti
- Stephen F. Altschul
- William R. Taylor
- W. Kabsch
- Michele Vendruscolo
- Pauline Crystal Ng
Who trusts Piero Fariselli overall
- Emidio Capriotti
- Jesse Eickholt
- T. Kościółek
- Kevin Kaichuang Yang
- Gianluca Pollastri
- David T. Jones
- Jianlin Cheng
- Mirko Torrisi
- Gisbert Schneider
- Burkhard Rost
Papers from Piero Fariselli's perspective
Ordered by how strongly the researchers Piero Fariselli trusts endorse each paper. Same corpus, a different order for every researcher.
- Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
- Basic local alignment search tool.
- Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical features
- Prediction of protein secondary structure at better than 70% accuracy.
- Human non-synonymous SNPs: server and survey. (Nucleic Acids Research)
- Learning representations by back-propagating errors
- Prediction of deleterious human alleles.
- TM-align: a protein structure alignment algorithm based on the TM-score
- Combining evolutionary information and neural networks to predict protein secondary structure
- The Protein Data Bank.
Their papers
- Prediction of contact maps with neural networks and correlated mutations. (2001) — 234 citations
- ConSeq: the identification of functionally and structurally important residues in protein sequences (2004) — 522 citations
- Functional annotations improve the predictive score of human disease‐related mutations in proteins (2009) — 698 citations
- I-Mutant2.0: predicting stability changes upon mutation from the protein sequence or structure (2005) — 1,979 citations
- The s2D method: simultaneous sequence-based prediction of the statistical populations of ordered and disordered regions in proteins. (2015) — 85 citations
- BaCelLo: a balanced subcellular localization predictor (2006) — 336 citations
- Predicting protein stability changes from sequences using support vector machines (2005) — 199 citations
- WS-SNPs&GO: a web server for predicting the deleterious effect of human protein variants using functional annotation (2013) — 357 citations
- BUSCA: an integrative web server to predict subcellular localization of proteins (2018) — 383 citations
- Fast overlapping of protein contact maps by alignment of eigenvectors (2010) — 47 citations
- Topology prediction for helical transmembrane proteins at 86% accuracy–Topology prediction at 86% accuracy (1996)
- Transmembrane helices predicted at 95% accuracy (1995)