Results 91 to 100 of about 542,906 (295)

An analysis of the Sargasso Sea resource and the consequences for database composition

open access: yes, 2006
Background: The environmental sequencing of the Sargasso Sea has introduced a huge new resource of genomic information. Unlike the protein sequences held in the current searchable databases, the Sargasso Sea sequences originate from a single marine ...
Cozzetto Domenico   +15 more
core   +1 more source

Protein- protein interaction network for common DEGs.

open access: yes, 2023
All disconnected nodes were removed from the network. The sphere represents node (protein encoded by the gene) and the line depicts interaction. The color of the line is representative of the source of evidence for interaction, including text mining ...
Attya Bhatti (4762944)   +2 more
core   +1 more source

Domain fusion analysis by applying relational algebra to protein sequence and domain databases

open access: yesBMC Bioinformatics, 2003
Background Domain fusion analysis is a useful method to predict functionally linked proteins that may be involved in direct protein-protein interactions or in the same metabolic or signaling pathway.
Ikura Mitsuhiko, Truong Kevin
doaj   +1 more source

Opening up connectivity between documents, structures and bioactivity

open access: yesBeilstein Journal of Organic Chemistry, 2020
Bioscientists reading papers or patents strive to discern the key relationships reported within a document “D“ where a bioactivity “A” with a quantitative result “R” (e.g., an IC50) is reported for chemical structure “C” that modulates (e.g., inhibits) a
Christopher Southan
doaj   +1 more source

Interrogating the immune landscape of microsatellite stable RAS‐mutated colon cancer

open access: yesMolecular Oncology, EarlyView.
COLOSSUS project RAS‐mutated MSS colon cancer study explored transcriptomics and immune cell density by immunohistochemistry (IHC), Immunoscore (IS), ISIC/TuLIS scores, mutation counts, and detected different prevalences but similar microenvironment composition across immune markers with clinical relevance for future immunotherapy combination ...
Rodrigo Dienstmann   +61 more
wiley   +1 more source

ISPIDER Central: an integrated database web-server for proteomics

open access: yes, 2008
Despite the growing volumes of proteomic data, integration of the underlying results remains problematic owing to differences in formats, data captured, protein accessions and services available from the individual repositories.
Zamboulis, L.   +34 more
core   +1 more source

Keratin 19 as a prognostic marker and contributing factor of metastasis and chemoresistance in high‐grade serous ovarian cancer

open access: yesMolecular Oncology, EarlyView.
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch   +13 more
wiley   +1 more source

Detecting protein variants by mass spectrometry: a comprehensive study in cancer cell-lines

open access: yesGenome Medicine, 2017
Background Onco-proteogenomics aims to understand how changes in a cancer’s genome influences its proteome. One challenge in integrating these molecular data is the identification of aberrant protein products from mass-spectrometry (MS) datasets, as ...
Javier A. Alfaro   +5 more
doaj   +1 more source

Somatic mutational landscape in von Hippel–Lindau familial hemangioblastoma

open access: yesMolecular Oncology, EarlyView.
The causes of central nervous system (CNS) hemangioblastoma in Von Hippel–Lindau (vHL) disease are unclear. We used Whole Exome Sequencing (WES) on familial hemangioblastoma to investigate events that underlie tumor development. Our findings suggest that VHL loss creates a permissive environment for tumor formation, while additional alterations ...
Maja Dembic   +5 more
wiley   +1 more source

Domain discovery method for topological profile searches in protein structures

open access: yes, 2004
We describe a method for automated domain discovery for topological profile searches in protein structures. The method is used in a system TOPStructure for fast prediction of CATH classification for protein structures (given as PDB files).
Viksna, J   +5 more
core  

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