Papers:
Detecting Secondary Peptide Structures by Scaling a Genetic Algorithm
The ability to accurately predict a polypeptide's molecular structure given its amino acid sequence is important to numerous scientific, medical, and engineering applications. Studies have been conducted in the application of Genetic Algorithms (GAs) to [...]
Statistical Theory for Protein Combinatorial Libraries
Combinatorial experiments provide new ways to probe the determinants of protein folding and to identify novel folding amino acid sequences. These types of experiments, however, are complicated by both enormous conformational complexity and by large [...]
Ionic Channels as Biodevices
Ion channels are proteins with a hole down their middle of great biological and medical importance studied in thousand of laboratories. Ions move through channels of known structure obeying the relatively simple laws of electrodiffusion. [...]
Three-Dimensional Continuum Simulation of Biological Ion Channels
We present a self-consistent continuum 3-D simulation of ion permeation through the ompF porin channel, a protein found in the membrane of the e-coli bacterium. The model is based on the simultaneous solution of Poisson's [...]
Mechanisms of Selectivity in Biological Ion Channels
Ca, K and Na channels of biological membrandes are proteins that pass ions through a molecular pore, thereby selecting particular ions of biological importance. We repore here theoretical work suggesting that interactions among charged hard [...]
Simulation Studies of Channels in Biological Membranes
The results of our recent studies of the selectivity of a calcium channel by means of a Monte Carlo simulation and of the conductance of ions in a model channel by means of a molecular [...]
Journal: TechConnect Briefs
Volume: 2, Technical Proceedings of the 2001 International Conference on Computational Nanoscience and Nanotechnology
Published: March 19, 2001
Industry sectors: Advanced Materials & Manufacturing | Medical & Biotech
Topics: Biomaterials, Informatics, Modeling & Simulation
ISBN: 0-9708275-3-9