Biomedical subjects
Publications and source records attributed to N S Goel.
A recently introduced class of models, the Movable Finite Automata (MFA) models, are used for simulating the elongation of the polypeptide chain in protein biosynthesis. The results of these simulations, all carried out on a microcomputer, are given.
A new class of models, called Movable Finite Automata (MFA) models, is introduced. MFA models are physically realistic, but still share some of the features of cellular automata that make the latter easy to handle mathematically and computationally. They are found to be quite versatile in modeling the self-organization of biological systems. Their use in simulating the interaction of protein molecules in the self-assembly and operation of the T4 bacteriophage is described. The results of these simulations carried out on a microcomputer, are given.
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A model is presented for the self-assembly and operation of a bacteriophage comparable with the T4 bacteriophage that infects Escherichia coli. The model treats protein molecules as simple units obeying the principle free energy minimization, and exhibiting the properties of quasi-equivalence and conformational switching. A computer program incorporating the model has been developed. The results of simulation using this program are presented.
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A theory of the propagation of errors in the system of enzymes translating genetic information into proteins developed earlier is extended to include errors at the transcription level. The theory is compared to other statistical theories. The properties are defined of the protein synthesizing machineries, especially those of the erroneous enzymes, which give catastrophe, stable self-replication containing errors, recovery from errors, etc. Experimental data are analyzed in light of the theory to determine the validity of the error catastrophe hypothesis of aging.
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