about
ASPicDB: a database of annotated transcript and protein variants generated by alternative splicingI-Mutant2.0: predicting stability changes upon mutation from the protein sequence or structure.TRAMPLE: the transmembrane protein labelling environment.BaCelLo: a balanced subcellular localization predictorReconstruction of 3D structures from protein contact mapsThe implications of alternative splicing in the ENCODE protein complementBETAWARE: a machine-learning tool to detect and predict transmembrane beta-barrel proteins in prokaryotes.Improving the detection of transmembrane β-barrel chains with N-to-1 extreme learning machines.The prediction of membrane protein structure and genome structural annotation.A new decoding algorithm for hidden Markov models improves the prediction of the topology of all-beta membrane proteins.A three-state prediction of single point mutations on protein stability changes.A graph theoretic approach to protein structure selection.CCHMM_PROF: a HMM-based coiled-coil predictor with evolutionary information.Fast overlapping of protein contact maps by alignment of eigenvectors.Blurring contact maps of thousands of proteins: what we can learn by reconstructing 3D structure.Correlating disease-related mutations to their effect on protein stability: a large-scale analysis of the human proteome.A computational approach for detecting peptidases and their specific inhibitors at the genome levelMemPype: a pipeline for the annotation of eukaryotic membrane proteins.BAR-PLUS: the Bologna Annotation Resource Plus for functional and structural annotation of protein sequences.An ENSEMBLE machine learning approach for the prediction of all-alpha membrane proteins.TPpred2: improving the prediction of mitochondrial targeting peptide cleavage sites by exploiting sequence motifs.The s2D method: simultaneous sequence-based prediction of the statistical populations of ordered and disordered regions in proteins.The WWWH of remote homolog detection: the state of the art.Prediction of disulfide connectivity in proteins with machine-learning methods and correlated mutations.Functional annotations improve the predictive score of human disease-related mutations in proteins.eSLDB: eukaryotic subcellular localization database.Fishing new proteins in the twilight zone of genomes: the test case of outer membrane proteins in Escherichia coli K12, Escherichia coli O157:H7, and other Gram-negative bacteriaProgress and challenges in predicting protein-protein interaction sites.Prediction of the disulfide-bonding state of cysteines in proteins at 88% accuracy.SUS-BAR: a database of pig proteins with statistically validated structural and functional annotation.How to inherit statistically validated annotation within BAR+ protein clusters.Weather factors influencing the population dynamics of Culex pipiens (Diptera: Culicidae) in the Po Plain Valley, Italy (1997-2011).A neural network approach to evaluate fold recognition results.AlignBucket: a tool to speed up 'all-against-all' protein sequence alignments optimizing length constraints.Computer-based prediction of mitochondria-targeting peptides.PONGO: a web server for multiple predictions of all-alpha transmembrane proteinsGrammatical-Restrained Hidden Conditional Random Fields for Bioinformatics applicationsPredicting protein thermostability changes from sequence upon multiple mutations.Robust determinants of thermostability highlighted by a codon frequency index capable of discriminating thermophilic from mesophilic genomes.Prediction of disulfide-bonded cysteines in proteomes with a hidden neural network.
P50
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P50
description
onderzoeker
@nl
researcher
@en
հետազոտող
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name
Piero Fariselli
@ast
Piero Fariselli
@en
Piero Fariselli
@es
Piero Fariselli
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type
label
Piero Fariselli
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Piero Fariselli
@en
Piero Fariselli
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Piero Fariselli
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prefLabel
Piero Fariselli
@ast
Piero Fariselli
@en
Piero Fariselli
@es
Piero Fariselli
@nl
P106
P1153
7004658043
P21
P2456
P31
P496
0000-0003-1811-4762