scispace - formally typeset
M

Mark E. McComb

Researcher at Boston University

Publications -  74
Citations -  4180

Mark E. McComb is an academic researcher from Boston University. The author has contributed to research in topics: Mass spectrometry & Sample preparation in mass spectrometry. The author has an hindex of 33, co-authored 74 publications receiving 3863 citations. Previous affiliations of Mark E. McComb include Boston University Medical Campus & University of Virginia.

Papers
More filters
Journal ArticleDOI

Software Tool for Researching Annotations of Proteins: Open-Source Protein Annotation Software with Data Visualization

TL;DR: The Software Tool for Researching Annotations of Proteins (STRAP), a user-friendly, open-source C# application that automatically obtains gene ontology (GO) terms associated with proteins in a proteomics results ID list using the freely accessible UniProtKB and EBI GOA databases.
Journal ArticleDOI

The cytosolic entry of diphtheria toxin catalytic domain requires a host cell cytosolic translocation factor complex.

TL;DR: Results presented here suggest a common and fundamental mechanism for C-domain translocation across early endosomal membranes and demonstrate that thioredoxin reductase activity plays an essential role in the cytosolic release of the C- domain.
Journal ArticleDOI

Isotope-coded affinity tag (ICAT) approach to redox proteomics: identification and quantitation of oxidant-sensitive cysteine thiols in complex protein mixtures.

TL;DR: Of the many protein thiols labeled by the ICAT, only relatively few were oxidized more than 50% despite the high concentration of oxidant used, indicating that oxidant-sensitiveThiols are relatively rare, and denoting their specificity and potential functional relevance.
Journal ArticleDOI

Human Proteinpedia enables sharing of human protein data.

Suresh Mathivanan, +163 more
- 01 Feb 2008 - 
TL;DR: MMCD is a practical tool for expediting the time-consuming steps of identifying and researching small molecules and is compatible with both NMR and MS data and facilitates high-throughput metabolomics investigations.