about
APID: Agile Protein Interaction DataAnalyzerPSICQUIC and PSISCORE: accessing and scoring molecular interactionsFunctional integrative levels in the human interactome recapitulate organ organization.Human gene coexpression landscape: confident network derived from tissue transcriptomic profilesStructural domain-domain interactions: assessment and comparison with protein-protein interaction data to improve the interactome.Draft genome of Streptomyces tsukubaensis NRRL 18488, the producer of the clinically important immunosuppressant tacrolimus (FK506).APID interactomes: providing proteome-based interactomes with controlled quality for multiple species and derived networks.Schizophrenia gene expression profile reverted to normal levels by antipsychoticsD3GB: An Interactive Genome Browser for R, Python, and WordPress.The minimum information required for reporting a molecular interaction experiment (MIMIx).Cross-talk of global nutritional regulators in the control of primary and secondary metabolism in StreptomycesProtein interactions: mapping interactome networks to support drug target discovery and selection.Identification of candidate genes for Parkinson's disease through blood transcriptome analysis in LRRK2-G2019S carriers, idiopathic cases, and controls.Comparative blood transcriptome analysis in idiopathic and LRRK2 G2019S-associated Parkinson's disease.NRPSsp: non-ribosomal peptide synthase substrate predictor.A cluster merging method for time series microarray with production values.Gimatecan and other camptothecin derivatives poison Leishmania DNA-topoisomerase IB leading to a strong leishmanicidal effect.RJSplot: Interactive Graphs with R.APID2NET: unified interactome graphic analyzer.Algorithm to find gene expression profiles of deregulation and identify families of disease-altered genes.The biological age linked to oxidative stress modifies breast cancer aggressiveness.PcFKH1, a novel regulatory factor from the forkhead family, controls the biosynthesis of penicillin in Penicillium chrysogenum.Blood Gene Expression Profile Predicts Response to Antipsychotics.Supplementary data for the biological age linked to oxidative stress modifies breast cancer aggressiveness.Defining the Species Micromonospora saelicesensis and Micromonospora noduli Under the Framework of Genomics.Gene clustering for time-series microarray with production outputsCharacterization of Nonribosomal Peptide Synthetases with NRPSspA pentapeptide signature motif plays a pivotal role in Leishmania DNA topoisomerase IB activity and camptothecin sensitivityThe regulatory factor PcRFX1 controls the expression of the three genes of β-lactam biosynthesis in Penicillium chrysogenumCorrection: Dose response of the 16p11.2 distal copy number variant on intracranial volume and basal gangliaAltered gene expression in antipsychotic-induced weight gainSex differences in gene expression related to antipsychotic induced weight gainTime dependent expression of the blood biomarkers EIF2D and TOX in patients with schizophreniaDefects in memory B-cell and plasma cell subsets expressing different immunoglobulin-subclasses in patients with CVID and immunoglobulin subclass deficienciesFrequency and prognostic impact of KIT and other genetic variants in indolent systemic mastocytosisAssociation of Copy Number Variation of the 15q11.2 BP1-BP2 Region With Cortical and Subcortical Morphology and Cognition
P50
Q24680206-B92C685B-4660-4790-936F-1DCA799EE9C6Q28740880-7F282C8E-317E-4006-A9DD-B6ADB33FDA50Q31026766-E2DE577C-BC45-428E-95FF-D62DF33FF99DQ33392867-0CE1E31D-8381-401C-8217-70E4A044BCE5Q33500238-90015422-BF0F-4D45-B9A8-2BC277468B65Q34284683-E45E55DF-90A6-4055-B067-499CAA61CFA2Q34524369-19E95511-9A74-41A2-A191-D505E6D5EFB7Q35179019-6ACBBA20-FEB0-4F05-9D05-C13807C52542Q36354985-EF8CA83B-4240-48F0-9D16-4A7B6DB8C728Q36905469-B077DC78-B699-4BB3-B8A9-3E8981250EE1Q37845950-3DBEEF6A-4492-4363-A1AE-AA5E06DF711EQ38028416-6E7A1526-7F17-4CD1-9885-5B93EFA392F9Q39084038-5F6F70C3-6653-499E-BE82-06ECD9B80217Q42778233-F3630717-B76E-4CC3-BB5C-7834E8683233Q44568481-6021426C-0986-4A2D-867B-47EF84A30C7FQ44810067-ABC814DD-F721-473F-B061-9DD328CC8155Q45994589-7607604B-DFE0-4BD5-B702-9832310B9B35Q47860312-3926A4B6-A892-4E02-9828-008959EDC234Q48392567-17BAD339-9006-45E5-9F03-3AD457790069Q48456023-0F7F9B3B-DF21-444F-B63B-86D6E4A8A77AQ51762202-2B887A4A-1CEE-429C-B0BD-142FB2BC9248Q52938323-3254350E-224B-470E-B852-3209E8FAA3ADQ55021168-144DBCE0-6A82-4E3C-8455-DA22BCB9396BQ55257371-BB4CAD95-C876-4591-9E5E-AF3BAE45B01FQ55504394-47DFE4A2-3F3F-417B-AA8D-66BEDFE625E2Q58051403-FF245CBF-E381-4246-A7AD-879453FE463DQ58051405-803A0D32-D19D-4BF0-87F7-2C96735092A8Q58051409-2095647F-BCC8-4A17-8C00-2CB82D3AE532Q58051411-3D597E4E-5F9C-46C8-8C3F-0C24AAA9B609Q63684046-8F344916-2FC5-447E-B4DF-328BDEA0E74CQ64060745-9A8C13C3-F3FD-4E2B-98B8-3A5AA0FBB4ACQ64114784-220FD06F-CB1E-4B14-8100-8732934877DDQ91948926-7FA457AD-DF7A-4F54-9B09-EDEC7E4DB524Q92074207-9AC6421C-B4AF-41E3-9554-620BE490C55AQ92450813-B40240F2-1345-44FC-A4A0-932E64F4B8FEQ95729770-39C4FEDC-30FD-4950-9C38-759FD4B3257B
P50
description
hulumtues
@sq
researcher
@en
wetenschapper
@nl
հետազոտող
@hy
name
Carlos Prieto
@ast
Carlos Prieto
@en
Carlos Prieto
@es
Carlos Prieto
@nl
Carlos Prieto
@sl
type
label
Carlos Prieto
@ast
Carlos Prieto
@en
Carlos Prieto
@es
Carlos Prieto
@nl
Carlos Prieto
@sl
prefLabel
Carlos Prieto
@ast
Carlos Prieto
@en
Carlos Prieto
@es
Carlos Prieto
@nl
Carlos Prieto
@sl
P1053
G-2382-2016
P106
P21
P31
P3829
P4012
P496
0000-0001-8178-9768