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Full-Text Articles in Engineering
Collagen-Mimetic Hydrogels Promote Human Endothelial Cell Adhesion, Migration And Phenotypic Maturation, Dany J. Munoz Pinto, V. R. Guiza-Arguello, S. M. Becerra-Bayona, J. Erndt-Marino, S. Samavedi, S. Malmut, B. Russell, M. Höök, M. S. Hahn
Collagen-Mimetic Hydrogels Promote Human Endothelial Cell Adhesion, Migration And Phenotypic Maturation, Dany J. Munoz Pinto, V. R. Guiza-Arguello, S. M. Becerra-Bayona, J. Erndt-Marino, S. Samavedi, S. Malmut, B. Russell, M. Höök, M. S. Hahn
Dany J. Munoz Pinto
This work evaluates the response of human aortic endothelial cells (HAECs) to thromboresistant collagen-mimetic hydrogel coatings toward improving the biocompatibility of existing "off-the-shelf" small-caliber vascular grafts. Specifically, bioactive hydrogels-previously shown to support α1/α2 integrin-mediated cell adhesion but to resist platelet activation-were fabricated by combining poly(ethylene glycol) (PEG) with a 120 kDa, triple-helical collagen-mimetic protein (Scl2-2) containing the GFPGER adhesion sequence. Analysis of HAECs seeded onto the resulting PEG-Scl2-2 hydrogels demonstrated that HAEC adhesion increased with increasing Scl2-2 concentration, while HAEC migration rate decreased over this same concentration range. In addition, evaluation of HAEC phenotype at confluence indicated significant differences in …
Protein Family Classification Using Structural And Sequence Information, Jennifer A. Smith
Protein Family Classification Using Structural And Sequence Information, Jennifer A. Smith
Jennifer A. Smith
Protein family classification usually relies on sequence information (as in the case of hidden Markov models and position-specific scoring matrices) or on structural information where some sort of average positional error between the atomic locations is used. The positional error method requires that the structure of all the proteins to be classified is known. Sequence methods have the advantage that a much larger number of proteins can be classified (since far more sequences are know than structures). However, sequence methods discard a large amount of useful information contained in the structures of the subset of proteins in the family for …
Searching For Protein Classification Features, Jennifer A. Smith
Searching For Protein Classification Features, Jennifer A. Smith
Jennifer A. Smith
A genetic algorithm is used to search for a set of classification features for a protein superfamily which is as unique as possible to the superfamily. These features may then be used for very fast classification of a query sequence into a protein superfamily. The features are based on windows onto modified consensus sequences of multiple aligned members of a training set for the protein superfamily. The efficacy of the method is demonstrated using receiver operating characteristic (ROC) values and the performance of resulting algorithm is compared with other database search algorithms.