Open Access. Powered by Scholars. Published by Universities.®
Medical Biomathematics and Biometrics Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Medical Biomathematics and Biometrics
A Computational Framework For Proteome-Wide Pursuit And Prediction Of Metalloproteins Using Icp-Ms And Ms/Ms Data, W. Andrew Lancaster, Jeremy L. Praissman, Farris L. Poole, Aleksandar Cvetkovic, Angeli Lal Menon, Joseph W. Scott, Francis E. Jenney, Michael P. Thorgersen, Ewa Kalisiak, Junefredo V. Apon, Sunia A. Trauger, Gary Siuzdak, John A. Tainer, Michael W. W. Adams
A Computational Framework For Proteome-Wide Pursuit And Prediction Of Metalloproteins Using Icp-Ms And Ms/Ms Data, W. Andrew Lancaster, Jeremy L. Praissman, Farris L. Poole, Aleksandar Cvetkovic, Angeli Lal Menon, Joseph W. Scott, Francis E. Jenney, Michael P. Thorgersen, Ewa Kalisiak, Junefredo V. Apon, Sunia A. Trauger, Gary Siuzdak, John A. Tainer, Michael W. W. Adams
PCOM Scholarly Works
BACKGROUND: Metal-containing proteins comprise a diverse and sizable category within the proteomes of organisms, ranging from proteins that use metals to catalyze reactions to proteins in which metals play key structural roles. Unfortunately, reliably predicting that a protein will contain a specific metal from its amino acid sequence is not currently possible. We recently developed a generally-applicable experimental technique for finding metalloproteins on a genome-wide scale. Applying this metal-directed protein purification approach (ICP-MS and MS/MS based) to the prototypical microbe Pyrococcus furiosus conclusively demonstrated the extent and diversity of the uncharacterized portion of microbial metalloproteomes since a majority of the …
The Cardiac Atlas Project--An Imaging Database For Computational Modeling And Statistical Atlases Of The Heart, Carissa G. Fonseca, Michael Backhaus, David A. Bluemke, Randall D. Britten, Jae Do Chung, Brett R. Cowan, Alan H. Kadish
The Cardiac Atlas Project--An Imaging Database For Computational Modeling And Statistical Atlases Of The Heart, Carissa G. Fonseca, Michael Backhaus, David A. Bluemke, Randall D. Britten, Jae Do Chung, Brett R. Cowan, Alan H. Kadish
Office of the President Publications and Research
MOTIVATION: Integrative mathematical and statistical models of cardiac anatomy and physiology can play a vital role in understanding cardiac disease phenotype and planning therapeutic strategies. However, the accuracy and predictive power of such models is dependent upon the breadth and depth of noninvasive imaging datasets. The Cardiac Atlas Project (CAP) has established a large-scale database of cardiac imaging examinations and associated clinical data in order to develop a shareable, web-accessible, structural and functional atlas of the normal and pathological heart for clinical, research and educational purposes. A goal of CAP is to facilitate collaborative statistical analysis of regional heart shape …