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Preventing illegal seafood trade using machine-learning assisted microbiome analysis.
- Published in:
- BMC Biology, 2024, v. 22, n. 1, p. 1, doi. 10.1186/s12915-024-02005-w
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- Article
Longitudinal transcriptomic and genetic landscape of radiotherapy response in canine melanoma.
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- Veterinary & Comparative Oncology, 2019, v. 17, n. 3, p. 308, doi. 10.1111/vco.12473
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- Article
Predicting protein stability changes from sequences using support vector machines.
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- Bioinformatics, 2005, v. 21, p. ii54, doi. 10.1093/bioinformatics/bti1109
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- Article
A neural-network-based method for predicting protein stability changes upon single point mutations.
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- Bioinformatics, 2004, v. 20, n. suppl_1, p. i63, doi. 10.1093/bioinformatics/bth928
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- Article
ConSeq: the identification of functionally and structurally important residues in protein sequences.
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- Bioinformatics, 2004, v. 20, n. 8, p. 1322, doi. 10.1093/bioinformatics/bth070
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- Article
A neural-network-based method for predicting protein stability changes upon single point mutations.
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- Bioinformatics, 2004, v. 20, p. i63, doi. 10.1093/bioinformatics/bth928
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- Article
SPEPlip: the detection of signal peptide and lipoprotein cleavage sites.
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- Bioinformatics, 2003, v. 19, n. 18, p. 2498, doi. 10.1093/bioinformatics/btg360
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- Article
MaxSubSeq: an algorithm for segment-length optimization. The case study of the transmembrane spanning segments.
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- Bioinformatics, 2003, v. 19, n. 4, p. 500, doi. 10.1093/bioinformatics/btg023
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- Article
A sequence-profile-based HMM for predicting and discriminating β barrel membrane proteins.
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- Bioinformatics, 2002, v. 18, p. S46, doi. 10.1093/bioinformatics/18.suppl_1.S46
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- Article
Prediction of disulfide connectivity in proteins.
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- Bioinformatics, 2001, v. 17, n. 10, p. 957, doi. 10.1093/bioinformatics/17.10.957
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- Article
RCNPRED: prediction of the residue co-ordination numbers in proteins.
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- Bioinformatics, 2001, v. 17, n. 2, p. 202, doi. 10.1093/bioinformatics/17.2.202
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- Article
SeqFu: A Suite of Utilities for the Robust and Reproducible Manipulation of Sequence Files.
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- Bioengineering (Basel), 2021, v. 8, n. 5, p. 1, doi. 10.3390/bioengineering8050059
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- Article
Blurring contact maps of thousands of proteins: what we can learn by reconstructing 3D structure.
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- BioData Mining, 2011, v. 4, n. 1, p. 1, doi. 10.1186/1756-0381-4-1
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- Article
NET-GE: a novel NETwork-based Gene Enrichment for detecting biological processes associated to Mendelian diseases.
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- BMC Genomics, 2015, v. 16, p. 1, doi. 10.1186/1471-2164-16-S8-S6
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- Article
WS-SNPs&GO: a web server for predicting the eleterious effect of human protein variants sing functional annotation.
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- BMC Genomics, 2013, v. 14, n. Suppl 3, p. 1, doi. 10.1186/1471-2164-14-S3-S6
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- Article
Predicting cancer-associated germline variations in proteins.
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- BMC Genomics, 2012, v. 13, n. Suppl 4, p. 1, doi. 10.1186/1471-2164-13-S4-S8
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- Article
On the effect of protein conformation diversity in discriminating among neutral and disease related single amino acid substitutions.
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- BMC Genomics, 2012, v. 13, n. Suppl 4, p. 1, doi. 10.1186/1471-2164-13-S4-S5
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- Publication type:
- Article
Recombulator-X: A fast and user-friendly tool for estimating X chromosome recombination rates in forensic genetics.
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- PLoS Computational Biology, 2023, v. 19, n. 9, p. 1, doi. 10.1371/journal.pcbi.1011474
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- Article
PhD-SNPg: updating a webserver and lightweight tool for scoring nucleotide variants.
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- Nucleic Acids Research, 2023, v. 51, n. W1, p. W451, doi. 10.1093/nar/gkad455
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- Article
How to inherit statistically validated annotation within BAR+ protein clusters.
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- BMC Bioinformatics, 2013, v. 14, n. S3, p. 1, doi. 10.1186/1471-2105-14-S3-S4
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- Article
Prediction of disulfide connectivity in proteins with machine-learning methods and correlated mutations.
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- BMC Bioinformatics, 2013, v. 14, n. Suppl 1, p. 1, doi. 10.1186/1471-2105-14-S1-S10
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- Article
Influence of Model Structures on Predictors of Protein Stability Changes from Single-Point Mutations.
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- Genes, 2023, v. 14, n. 12, p. 2228, doi. 10.3390/genes14122228
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- Article
A Deep-Learning Sequence-Based Method to Predict Protein Stability Changes Upon Genetic Variations.
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- Genes, 2021, v. 13, n. 6, p. 911, doi. 10.3390/genes12060911
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Meta-Analysis of Gene Popularity: Less Than Half of Gene Citations Stem from Gene Regulatory Networks.
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- Genes, 2021, v. 12, n. 2, p. 319, doi. 10.3390/genes12020319
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- Article
SUS-BAR: a database of pig proteins with statistically validated structural and functional annotation.
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- Database: The Journal of Biological Databases & Curation, 2013, v. 2013, p. 1, doi. 10.1093/database/bat065
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- Article
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 bacteria.
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- Protein Science: A Publication of the Protein Society, 2003, v. 12, n. 6, p. 1158, doi. 10.1110/ps.0223603
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- Article
Prediction of the disulfide-bonding state of cysteines in proteins at 88% accuracy.
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- Protein Science: A Publication of the Protein Society, 2002, v. 11, n. 11, p. 2735, doi. 10.1110/ps.0219602
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- Article
Prediction of the transmembrane regions of β-barrel membrane proteins with a neural network-based predictor.
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- Protein Science: A Publication of the Protein Society, 2001, v. 10, n. 4, p. 779, doi. 10.1110/ps.37201
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- Article
Quantum mechanical analysis of oxygenated and deoxygenated states of hemocyanin: Theoretical clues for a plausible allosteric model of oxygen binding.
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- Protein Science: A Publication of the Protein Society, 1999, v. 8, n. 7, p. 1546, doi. 10.1110/ps.8.7.1546
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- Article
Large scale analysis of protein stability in OMIM disease related human protein variants.
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- BMC Genomics, 2016, v. 17, p. 239, doi. 10.1186/s12864-016-2726-y
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- Article
Current cancer driver variant predictors learn to recognize driver genes instead of functional variants.
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- BMC Biology, 2021, v. 19, n. 1, p. 1, doi. 10.1186/s12915-020-00930-0
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- Article
Predicting protein stability changes upon single-point mutation: a thorough comparison of the available tools on a new dataset.
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- Briefings in Bioinformatics, 2022, v. 23, n. 2, p. 1, doi. 10.1093/bib/bbab555
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- Article
DNA sequence symmetries from randomness: the origin of the Chargaff's second parity rule.
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- Briefings in Bioinformatics, 2021, v. 22, n. 2, p. 2172, doi. 10.1093/bib/bbaa041
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- Article
On the critical review of five machine learning-based algorithms for predicting protein stability changes upon mutation.
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- Briefings in Bioinformatics, 2021, v. 22, n. 1, p. 601, doi. 10.1093/bib/bbz168
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- Article
Progress and challenges in predicting protein-protein interaction sites.
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- Briefings in Bioinformatics, 2009, v. 10, n. 3, p. 233, doi. 10.1093/bib/bbp021
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- Article
The WWWH of remote homolog detection: The state of the art.
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- Briefings in Bioinformatics, 2007, v. 8, n. 2, p. 78, doi. 10.1093/bib/bb1032
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- Article
In silico prediction of the structure of membrane proteins: Is it feasible?
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- Briefings in Bioinformatics, 2003, v. 4, n. 4, p. 341, doi. 10.1093/bib/4.4.341
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- Article
Prediction of the disulfide bonding state of cysteines in proteins with hidden neural networks.
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- Protein Engineering, 2002, v. 15, n. 12, p. 951, doi. 10.1093/protein/15.12.951
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- Article
Prediction of contact maps with neural networks and correlated mutations.
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- Protein Engineering, 2001, v. 14, n. 11, p. 835, doi. 10.1093/protein/14.11.835
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- Article
A three-state prediction of single point mutations on protein stability changes.
- Published in:
- BMC Bioinformatics, 2008, v. 9, p. 1, doi. 10.1186/1471-2105-9-S2-S6
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- Article
A computational approach for detecting peptidases and their specific inhibitors at the genome level.
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- BMC Bioinformatics, 2007, v. 8, p. S3, doi. 10.1186/1471-2105-8-S1-S3
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- Article
A new decoding algorithm for hidden Markov models improves the prediction of the topology of all-beta membrane proteins.
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- BMC Bioinformatics, 2005, v. 6, p. S12, doi. 10.1186/1471-2105-6-S4-S12
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- Article
MUSE-XAE: MUtational Signature Extraction with eXplainable AutoEncoder enhances tumour types classification.
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- Bioinformatics, 2024, v. 40, n. 5, p. 1, doi. 10.1093/bioinformatics/btae320
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- Article
Nonlinear data fusion over Entity–Relation graphs for Drug–Target Interaction prediction.
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- Bioinformatics, 2023, v. 39, n. 6, p. 1, doi. 10.1093/bioinformatics/btad348
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- Article
Calibrating variant-scoring methods for clinical decision making.
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- Bioinformatics, 2020, v. 36, n. 24, p. 5709, doi. 10.1093/bioinformatics/btaa943
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- Article
On the biases in predictions of protein stability changes upon variations: the INPS test case.
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- Bioinformatics, 2019, v. 35, n. 14, p. 2525, doi. 10.1093/bioinformatics/bty979
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- Article
A natural upper bound to the accuracy of predicting protein stability changes upon mutations.
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- Bioinformatics, 2019, v. 35, n. 9, p. 1513, doi. 10.1093/bioinformatics/bty880
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- Article
DeepSig: deep learning improves signal peptide detection in proteins.
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- Bioinformatics, 2018, v. 34, n. 10, p. 1690, doi. 10.1093/bioinformatics/btx818
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- Article
Cohort profile: the Turin prostate cancer prognostication (TPCP) cohort.
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- Frontiers in Oncology, 2023, p. 1, doi. 10.3389/fonc.2023.1242639
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- Article
On the Upper Bounds of the Real-Valued Predictions.
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- Bioinformatics & Biology Insights, 2019, v. 13, p. N.PAG, doi. 10.1177/1177932219871263
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- Article