Sort   by:  
 Page size 
TranscriptomicsDistinct and shared functions of ALS-associated TDP-43, FUS, and TAF15 revealed by comprehensive multi-system integrative analyses [RNA-Seq_human]
TDP-43, FUS, and TAF15 are implicated in amyotrophic lateral sclerosis (ALS) and frontotemporal dementia. We integrate CLIP-seq and RNA Bind-N-Seq technologies to discover that TAF15 binds to ~4,900 RNAs enriched for GGUA motifs. In the mouse brain, TAF15 and FUS, but not TDP-43, exhibit strikingly ...
ORGANISM(S): Homo sapiens 
2016-07-05 | E-GEOD-77702 | biostudies-arrayexpress
GenomicsPDX1 Binding in human embryonic stem cell derived pancreatic progenitor cells [ChIP-seq]
PDX1 binds and regulates numerous genes involved in human pancreatic development but also binds hepatic genes Examination of PDX1 regulated genes in pancreatic derived cell types
ORGANISM(S): Homo sapiens 
2014-06-21 | E-GEOD-58685 | biostudies-arrayexpress
TranscriptomicsPDX1 Binding in human embryonic stem cell derived pancreatic progenitor cells
This SuperSeries is composed of the SubSeries listed below. Refer to individual Series
ORGANISM(S): Homo sapiens 
2014-06-21 | E-GEOD-58686 | biostudies-arrayexpress
MetabolomicsGNPS-coniotin high-resolution mass spectrometry data
We purified coniotin from Coniochaeta fungus and determined its high-resolution mass (MS and MS/MS) using an Agilent 1290 Infinity II HPLC system coupled to a 6550 Q-TOF ESI/MS. Here, we deposit the full high-resolution electrospray ionization mass spectrometry data of coniotin to GNPS for public ac...
ORGANISM(S): Coniochaeta Fungus 
2025-07-14 | MSV000098505 | GNPS
ModelsStokes2020 - Antibiotics discovery using deep learning approach (Antiviral implementation)
This model was developed to support the early efforts in the identification of novel drugs against SARS-CoV2. It predicts the probability that a small molecule inhibits SARS-3CLpro-mediated peptide cleavage. It was developed using a high-throughput screening against the 3CL protease of SARS-CoV1, as...
2024-05-08 | MODEL2405080006 | BioModels
Machine Learning Model Ersilia 
ModelsStokes2020 - Antibiotics discovery using deep learning approach.
Based on a simple E.coli growth inhibition assay, the authors trained a model capable of identifying antibiotic potential in compounds structurally divergent from conventional antibiotic drugs. One of the predicted active molecules, Halicin (SU3327), was experimentally validated in vitro and in vivo...
2024-04-22 | MODEL2404080001 | BioModels
Machine Learning Model Ersilia 
UnknownAssociation of glycemic control with Long COVID in patients with type 2 diabetes: findings from the National COVID Cohort Collaborative (N3C).
Not available
S-EPMC11795369 | biostudies-literature
Sort   by:  
 Page size