about
ASPicDB: a database of annotated transcript and protein variants generated by alternative splicingAn expanded evaluation of protein function prediction methods shows an improvement in accuracySearching for signatures of cold adaptations in modern and archaic humans: hints from the brown adipose tissue genesThe implications of alternative splicing in the ENCODE protein complementThe effect of tryptophanyl substitution on folding and structure of myoglobin.Modulating the thermostability of Endoglucanase I from Trichoderma reesei using computational approaches.Large scale analysis of protein stability in OMIM disease related human protein variantsBRCA1 p.His1673del is a pathogenic mutation associated with a predominant ovarian cancer phenotype.TPpred2: improving the prediction of mitochondrial targeting peptide cleavage sites by exploiting sequence motifs.TPpred3 detects and discriminates mitochondrial and chloroplastic targeting peptides in eukaryotic proteins.Prediction of disulfide connectivity in proteins with machine-learning methods and correlated mutations.eSLDB: eukaryotic subcellular localization database.NET-GE: a novel NETwork-based Gene Enrichment for detecting biological processes associated to Mendelian diseasesMIMO: an efficient tool for molecular interaction maps overlapAncient pathogen-driven adaptation triggers increased susceptibility to non-celiac wheat sensitivity in present-day European populations.Blind prediction of deleterious amino acid variations with SNPs&GO.NET-GE: a web-server for NETwork-based human gene enrichment.SUS-BAR: a database of pig proteins with statistically validated structural and functional annotation.Working toward precision medicine: Predicting phenotypes from exomes in the Critical Assessment of Genome Interpretation (CAGI) challenges.The Bologna Annotation Resource (BAR 3.0): improving protein functional annotation.SChloro: directing Viridiplantae proteins to six chloroplastic sub-compartments.The prediction of organelle-targeting peptides in eukaryotic proteins with Grammatical-Restrained Hidden Conditional Random Fields.ISPRED4: interaction sites PREDiction in protein structures with a refining grammar model.A high-density, SNP-based consensus map of tetraploid wheat as a bridge to integrate durum and bread wheat genomics and breeding.The prediction of protein-protein interacting sites in genome-wide protein interaction networks: the test case of the human cell cycle.High-throughput SNP discovery in the rabbit (Oryctolagus cuniculus) genome by next-generation semiconductor-based sequencing.Predictions of protein segments with the same aminoacid sequence and different secondary structure: a benchmark for predictive methods.Identification and association analysis of several hundred single nucleotide polymorphisms within candidate genes for back fat thickness in Italian Large White pigs using a selective genotyping approachA first comparative map of copy number variations in the sheep genomeOn the biases in predictions of protein stability changes upon variations: the INPS test caseFunctional and Structural Features of Disease-Related Protein Variants.Genomic tools for durum wheat breeding: de novo assembly of Svevo transcriptome and SNP discovery in elite germplasmMolecular modelling evaluation of exon 18 His845_Asn848delinsPro PDGFRα mutation in a metastatic GIST patient responding to imatinibAssessment of blind predictions of the clinical significance of BRCA1 and BRCA2 variantsAre machine learning based methods suited to address complex biological problems? Lessons from CAGI-5 challengesAssessing predictions of the impact of variants on splicing in CAGI5Assessing computational predictions of the phenotypic effect of cystathionine-beta-synthase variantsCAGI SickKids challenges: Assessment of phenotype and variant predictions derived from clinical and genomic data of children with undiagnosed diseasesAssessment of predicted enzymatic activity of α-N-acetylglucosaminidase variants of unknown significance for CAGI 2016Prediction of the disulfide-bonding state of cysteines in proteins at 88% accuracy
P50
Q24614591-859B5072-A444-4218-8349-E0855C18A19AQ28596092-831A283B-05BE-4049-B3C3-469BCDE96782Q28601564-9F897970-55E9-4FC4-93CF-6AEBE05D16F1Q29048146-E50BCE28-D836-4D3F-85AD-65EF945952BBQ30326924-D9EFD512-A777-49C9-82F3-4727E53219DEQ30372807-4B22DA6E-7D15-41EA-8F48-CBDB0F733A07Q30389939-0A122307-515F-42B7-93EB-09C0CB51AD7CQ33618422-689F6852-99D8-49B2-AFBE-93D0BD45DA50Q34426900-7DAC9553-8047-46E1-BC5F-DBFF9C7D0FD4Q34480931-8165FE7E-6538-46AB-B8A8-96E3CDE7CDBDQ34569622-3CA9A832-69B2-48A2-9729-C01F7AE853B6Q35179213-39C5A33F-C92D-4F9F-BB09-9142894285D0Q35674545-D472BFBC-5B8D-48CE-83A2-DEBB4886B9B6Q36924581-549BC204-B95D-4EF0-A827-1B7E7FC71E6AQ37142030-E0F33F92-7041-4995-8AAB-C9C0D282050CQ38437989-9F4F6B31-F955-4889-A364-04109AC2A0A1Q38444047-4DEC4AB6-8402-4B49-B259-A6AB9118B1F4Q38485402-9DEB2F64-8720-4C6E-B357-E43D32898E26Q38716169-E087B51E-780B-4B3D-B6D7-1651C064A288Q38814571-B2636369-93B1-422A-80ED-9E250858D19FQ41941943-A9591565-AAF3-4563-BF5B-7C63C5F50D7EQ45408554-C9FCDAF4-6B79-4FF6-811D-D776C28395D3Q45948719-BB4B08A9-C981-4454-B634-1768D2ACF332Q46293782-BDECA3D6-2856-4590-AEDC-0E224ED39D92Q46544366-645A9C73-AD85-4D26-B091-07AEAED5AD3AQ46944085-7B9043B9-85BA-42E4-AB1E-C3E74DBE141BQ52072059-07D7C5B3-5711-49C7-974C-2EB03B93BAA8Q56980978-03EC3744-F025-4CD0-BB99-DE45A21EB593Q56986520-50E7074A-081E-4BEC-99B2-D431C253955DQ62654553-8292B8A4-A8F3-4335-8D5A-C38B1EF46466Q62654766-1C6D46A0-6132-4833-B703-6A28529CADCDQ64057973-C8A642C7-8845-4D6C-B645-5BB1CFC893F7Q64252554-5DE2F396-C1D9-4F03-88F4-68723E0D8413Q91793751-E5E69B36-C936-4B9F-A14B-26930F5069E0Q91842736-688F79D3-6ED0-486E-B85C-6ED9573DC6F1Q91845057-A036EF03-2934-40C2-BA84-9FAF6B85C659Q91845107-C8E55268-8223-4692-98B9-2885D4F8BE65Q92019408-DBBF316F-BFC8-4201-B0A0-B4613F2FAF9AQ92163347-4311592B-4187-4F79-8544-B07FEF0ECF6DQ94231770-B9F1A3D4-6528-4F73-8E69-7B762023A062
P50
description
onderzoeker
@nl
researcher
@en
հետազոտող
@hy
name
Pier Luigi Martelli
@ast
Pier Luigi Martelli
@en
Pier Luigi Martelli
@es
Pier Luigi Martelli
@nl
type
label
Pier Luigi Martelli
@ast
Pier Luigi Martelli
@en
Pier Luigi Martelli
@es
Pier Luigi Martelli
@nl
altLabel
Pier L Martelli
@en
prefLabel
Pier Luigi Martelli
@ast
Pier Luigi Martelli
@en
Pier Luigi Martelli
@es
Pier Luigi Martelli
@nl
P106
P1153
35473089200
P2456
P31
P496
0000-0002-0274-5669