David C Sullivan
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Explore the profile of David C Sullivan including associated specialties, affiliations and a list of published articles.
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10
Citations
269
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Recent Articles
1.
Mirmalek-Sani S, Sullivan D, Zimmerman C, Shupe T, Petersen B
Am J Pathol
. 2013 Jun;
183(2):558-65.
PMID: 23747949
Liver disease affects millions of patients each year. The field of regenerative medicine promises alternative therapeutic approaches, including the potential to bioengineer replacement hepatic tissue. One approach combines cells with...
2.
Sullivan D, Mirmalek-Sani S, Deegan D, Baptista P, Aboushwareb T, Atala A, et al.
Biomaterials
. 2012 Jul;
33(31):7756-64.
PMID: 22841923
End-stage renal failure is a devastating disease, with donor organ transplantation as the only functional restorative treatment. The current number of donor organs meets less than one-fifth of demand, so...
3.
Orlando G, Farney A, Iskandar S, Mirmalek-Sani S, Sullivan D, Moran E, et al.
Ann Surg
. 2012 Jun;
256(2):363-70.
PMID: 22691371
Background: It is important to identify new sources of transplantable organs because of the critical shortage of donor organs. Tissue engineering holds the potential to address this issue through the...
4.
Sullivan D, Martin E
J Chem Inf Model
. 2008 Apr;
48(4):817-30.
PMID: 18399649
From the perspective of 2D chemical descriptors, error in docking activity predictions is separated into noise and systematic components. This error framework explains how fitting docking scores to a 2D-QSAR...
5.
Martin E, Sullivan D
J Chem Inf Model
. 2008 Apr;
48(4):861-72.
PMID: 18380449
It has been notoriously difficult to develop general all-purpose scoring functions for high-throughput docking that correlate with measured binding affinity. As a practical alternative, AutoShim uses the program Magnet to...
6.
Martin E, Sullivan D
J Chem Inf Model
. 2008 Apr;
48(4):873-81.
PMID: 18380448
"Ensemble surrogate AutoShim" is a kinase specific extension of the AutoShim docking method that solves the three traditional limitations of conventional docking: (1) it gives good correlations with affinity, (2)...
7.
Sullivan D, Lim C
J Phys Chem B
. 2006 Aug;
110(33):16707-17.
PMID: 16913810
Quantifying the density of conformations over phase space (the conformational distribution) is needed to model important macromolecular processes such as protein folding. In this work, we quantify the conformational distribution...
8.
Sullivan D, Lim C
J Phys Chem B
. 2006 Jun;
110(24):12125-8.
PMID: 16800526
The density of states (DOS), which gives the number of conformations with a particular energy E, is a prerequisite in computing most thermodynamic quantities and in elucidating important biological processes...
9.
Sullivan D, Kuntz I
Biophys J
. 2004 Jul;
87(1):113-20.
PMID: 15240450
By considering how polymer structures are distributed in conformation space, we show that it is possible to quantify the difficulty of structural prediction and to provide a measure of progress...
10.
Sullivan D, Aynechi T, Voelz V, Kuntz I
Biophys J
. 2003 Jun;
85(1):174-90.
PMID: 12829474
For a completely enumerated set of conformers of a macromolecule or for exhaustive lattice walks of model polymers it is straightforward to use Shannon information theory to deduce the information...