Results 111 to 120 of about 8,093,743 (330)

Metagenome Proteins and Database Contamination [PDF]

open access: yesmSphere, 2020
Continued influx of metagenome-derived proteins with misannotated taxonomy into conventional databases, including RefSeq, threatens to eliminate the value of taxonomy identifiers. To prevent this, urgent efforts should be undertaken by submitters of metagenomic data sets as well as by database managers.
openaire   +3 more sources

Targeting the MDM2‐MDM4 interaction interface reveals an otherwise therapeutically active wild‐type p53 in colorectal cancer

open access: yesMolecular Oncology, EarlyView.
This study investigates an alternative approach to reactivating the oncosuppressor p53 in cancer. A short peptide targeting the association of the two p53 inhibitors, MDM2 and MDM4, induces an otherwise therapeutically active p53 with unique features that promote cell death and potentially reduce toxicity towards proliferating nontumor cells.
Sonia Valentini   +10 more
wiley   +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

The HHpred interactive server for protein homology detection and structure prediction

open access: yesNucleic Acids Res., 2005
HHpred is a fast server for remote protein homology detection and structure prediction and is the first to implement pairwise comparison of profile hidden Markov models (HMMs).
J. Söding, A. Biegert, A. Lupas
semanticscholar   +1 more source

StemNet: An Evolving Service for Knowledge Networking in the Life Sciences [PDF]

open access: yes, 2007
Up until now, crucial life science information resources, whether bibliographic or factual databases, are isolated from each other. Moreover, semantic metadata intended to structure their contents is supplied in a manual form only. In the StemNet project
Bajwa, A.   +6 more
core   +1 more source

KnotProt: a database of proteins with knots and slipknots [PDF]

open access: yesNucleic Acids Research, 2014
The protein topology database KnotProt, http://knotprot.cent.uw.edu.pl/, collects information about protein structures with open polypeptide chains forming knots or slipknots. The knotting complexity of the cataloged proteins is presented in the form of a matrix diagram that shows users the knot type of the entire polypeptide chain and of each of its ...
Jamroz, Michal   +6 more
openaire   +11 more sources

Elucidating prognostic significance of purine metabolism in colorectal cancer through integrating data from transcriptomic, immunohistochemical, and single‐cell RNA sequencing analysis

open access: yesMolecular Oncology, EarlyView.
Low expression of five purine metabolism‐related genes (ADSL, APRT, ADCY3, NME3, NME6) was correlated with poor survival in colorectal cancer. Immunohistochemistry analysis showed that low NME3 (early stage) and low ADSL/NME6 (late stage) levels were associated with high risk.
Sungyeon Kim   +8 more
wiley   +1 more source

The SWISS-PROT protein knowledgebase and its supplement TrEMBL in 2003

open access: yesNucleic Acids Res., 2003
The SWISS-PROT protein knowledgebase (http://www.expasy.org/sprot/ and http://www.ebi.ac.uk/swissprot/) connects amino acid sequences with the current knowledge in the Life Sciences.
B. Boeckmann   +11 more
semanticscholar   +1 more source

Exploration of heterogeneity and recurrence signatures in hepatocellular carcinoma

open access: yesMolecular Oncology, EarlyView.
This study leveraged public datasets and integrative bioinformatic analysis to dissect malignant cell heterogeneity between relapsed and primary HCC, focusing on intercellular communication, differentiation status, metabolic activity, and transcriptomic profiles.
Wen‐Jing Wu   +15 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

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