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Weather Factors Influencing the Population Dynamics of Culex pipiens (Diptera: Culicidae) in the Po Plain Valley, Italy (1997-2011).
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- Environmental Entomology, 2014, v. 43, n. 2, p. 482, doi. 10.1603/EN13173
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- Article
Deep learning methods to predict amyotrophic lateral sclerosis disease progression.
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- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-17805-9
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- Article
Evaluating the relevance of sequence conservation in the prediction of pathogenic missense variants.
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- Human Genetics, 2022, v. 141, n. 10, p. 1649, doi. 10.1007/s00439-021-02419-4
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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
BUSCA: an integrative web server to predict subcellular localization of proteins.
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- Nucleic Acids Research, 2018, v. 46, n. W1, p. W459, doi. 10.1093/nar/gky320
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- Article
PhD-SNP<sup>g</sup>: a webserver and lightweight tool for scoring single nucleotide variants.
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- Nucleic Acids Research, 2017, v. 45, n. W1, p. W247, doi. 10.1093/nar/gkx369
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- Article
BAR-PLUS: the Bologna Annotation Resource Plus for functional and structural annotation of protein sequences.
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- Nucleic Acids Research, 2011, v. 39, n. suppl_2, p. W197, doi. 10.1093/nar/gkr292
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- Article
MemPype: a pipeline for the annotation of eukaryotic membrane proteins.
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- Nucleic Acids Research, 2011, v. 39, n. suppl_2, p. W375, doi. 10.1093/nar/gkr282
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- Article
ASPicDB: a database of annotated transcript and protein variants generated by alternative splicing.
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- Nucleic Acids Research, 2011, v. 39, n. suppl_1, p. D80, doi. 10.1093/nar/gkq1073
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- Article
eSLDB: eukaryotic subcellular localization database.
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- Nucleic Acids Research, 2007, v. 35, p. d208, doi. 10.1093/nar/gkl775
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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
Context dependency of nucleotide probabilities and variants in human DNA.
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- BMC Genomics, 2022, v. 23, n. 1, p. 1, doi. 10.1186/s12864-021-08246-1
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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
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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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
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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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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Network measures for protein folding state discrimination.
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- Scientific Reports, 2016, p. 30367, doi. 10.1038/srep30367
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A Shannon entropy-based filter detects high- quality profileprofile alignments in searches for remote homologues.
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- Proteins, 2004, v. 54, n. 2, p. 351
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Progress in predicting inter-residue contacts of proteins with neural networks and correlated mutations.
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- Proteins, 2001, v. 45, n. S5, p. 157, doi. 10.1002/prot.1173
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Predictions of protein segments with the same aminoacid sequence and different secondary structure: A benchmark for predictive methods.
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- Proteins, 2000, v. 41, n. 4, p. 535, doi. 10.1002/1097-0134(20001201)41:4<535::AID-PROT100>3.0.CO;2-C
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Role of evolutionary information in predicting the disulfide-bonding state of cysteine in proteins.
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- Proteins, 1999, v. 36, n. 3, p. 340, doi. 10.1002/(SICI)1097-0134(19990815)36:3<340::AID-PROT8>3.0.CO;2-D
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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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Prediction of disulfide-bonded cysteines in proteomes with a hidden neural network.
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- Proteomics, 2004, v. 4, n. 6, p. 1665, doi. 10.1002/pmic.200300745
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Biologically meaningful genome interpretation models to address data underdetermination for the leaf and seed ionome prediction in Arabidopsis thaliana.
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- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-63855-6
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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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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
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
A three-state prediction of single point mutations on protein stability changes.
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- BMC Bioinformatics, 2008, v. 9, p. 1, doi. 10.1186/1471-2105-9-S2-S6
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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
PONGO: a web server for multiple predictions of all-alpha transmembrane proteins.
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- Nucleic Acids Research, 2006, v. 34, n. 11, p. w169, doi. 10.1093/nar/gkl208
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- Article
TRAMPLE: the transmembrane protein labelling environment.
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- Nucleic Acids Research, 2005, v. 33, n. suppl 2, p. w198, doi. 10.1093/nar/gki440
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- Article
I-Mutant2.0: predicting stability changes upon mutation from the protein sequence or structure.
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- Nucleic Acids Research, 2005, v. 33, n. suppl 2, p. w306, doi. 10.1093/nar/gki375
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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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DDGun: an untrained method for the prediction of protein stability changes upon single and multiple point variations.
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- BMC Bioinformatics, 2019, v. 20, p. N.PAG, doi. 10.1186/s12859-019-2923-1
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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
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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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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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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An ab initio study of the dioxygen binding site of hemocyanin: A comparison between CASSCF, CASPT2, and DFT approaches.
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- International Journal of Quantum Chemistry, 1996, v. 58, n. 1, p. 109, doi. 10.1002/(SICI)1097-461X(1996)58:1<109::AID-QUA10>3.0.CO;2-2
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- Article
Identification of novel circulating microRNAs in advanced heart failure by next‐generation sequencing.
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- ESC Heart Failure, 2021, v. 8, n. 4, p. 2907, doi. 10.1002/ehf2.13371
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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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Predicting protein thermostability changes from sequence upon multiple mutations.
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- Bioinformatics, 2008, v. 24, n. 13, p. i190, doi. 10.1093/bioinformatics/btn166
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FT-COMAR: fault tolerant three-dimensional structure reconstruction from protein contact maps.
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- Bioinformatics, 2008, v. 24, n. 10, p. 1313, doi. 10.1093/bioinformatics/btn115
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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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