information avalanche (overload or expansion) in various scientific fields is a novel issue turned out by a number of factors considered necessary to facilitate their record and registration. though, the biological science and its diverse fields like proteomics are not immune of this event and even may be as the event’s herald. on the other hand, time as the most valued anxiety of human has enc...

Synthesis of iminosugar-based affinity-based proteomics probes for use in probing exo-α-glycosidase activity.

Personalized medicine is the most promising approaches in the treatment of various diseases, especially cancer. The use of appropriate biomarkers for personalized treatment has advantage over conventional therapeutics approach, as it confer maximum effectiveness with minimum side effect. Personalized treatment can be achieved by implementation of omic studies in clinical practices. Application ...

different treatment strategies of alzheimer's disease (ad) are being studied for treating or slowing the progression of ad. many pharmaceutically important regulation systems operate through proteins as drug targets. here, we investigate the drug target proteins in beta-amyloid (aβ) injected rat hippocampus treated with lavandula angustifolia (la) by proteomics techniques. the reported stu...

Single protein biomarkers measured with antibody-based affinity assays are the basis of molecular diagnostics in clinical practice today. There is great hope in discovering new protein biomarkers and combinations of protein biomarkers for advancing medicine through monitoring health, diagnosing disease, guiding treatment, and developing new therapeutics. The goal of high-content proteomics is t...

Proteomics is a branch in biology that aims to comprehensively characterize a proteome. Mass spectrometry based proteomics has proven to be the most powerful approach to achieve this goal. This thesis introduces statistical concepts to optimally design and validate shotgun proteomics experiments and thereby enables to efficiently achieve reliable and extensive proteome coverage. The first part ...

BACKGROUND In order to tackle the important and challenging problem in proteomics of identifying known and new protein sequences using high-throughput methods, we propose a data-sharing platform that uses fully distributed P2P technologies to share specifications of peer-interaction protocols and service components. By using such a platform, information to be searched is no longer centralised i...

PROTEOMICSVolume 23, Issue 5 2370033 CONTENTSFree Access Contents: Proteomics 5'23 First published: 01 March 2023 https://doi.org/10.1002/pmic.202370033AboutRelatedInformationPDFPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessClose modalShare full-text accessPlease review our Terms and Conditions of Use check box below share v...

What is ProteomeXchange? ProteomeXchange (PX) provides a standard way for submitting mass spectrometry [2]-based proteomics [3] data to public-domain repositories. Once you have submitted your data to the PX entry point, it will be automatically disseminated to all other repositories in the consortium [1]. ProteomeXchange simplifies the submission and distribution of proteomics data. It has a c...

In this article we discuss the requirements to use data mining of published proteomics datasets to assist proteomics-based biomarker discovery, the use of external data integration to solve the issue of inadequate small sample sizes and finally, we try to estimate the probability that new biomarkers will be identified through data mining alone.