Folding a protein by discretizing its backbone torsional dynamics.
The aim of this work is to provide a coarse codification of local conformational constraints associated with each folding motif of a peptide chain in order to obtain a rough solution to the protein folding problem. This is accomplished by implementing a discretized version of the soft-mode dynamics on a personal computer (PC). Our algorithm mimics a parallel process as it evaluates concurrent folding possibilities by pattern recognition. It may be implemented in a PC as a sequence of perturbation-translation-renormalization (p-t-r) cycles performed on a matrix of local topological constraints (LTM). This requires suitable representational tools and a periodic quenching of the dynamics required for renormalization. We introduce a description of the peptide chain based on a local discrete variable the values of which label the basins of attraction of the Ramachandran map for each residue. Thus, the local variable indicates the basin in which the torsional coordinates of each residue lie at a given time. In addition, a coding of local topological constraints associated with each secondary and tertiary structural motif is introduced. Our treatment enables us to adopt a computation time step of 81 ps, a value far larger than hydrodynamic drag time scales. Folding pathways are resolved as transitions between patterns of locally encoded structural signals that change within the 10 micros-100 ms time scale range. These coarse folding pathways are generated by the periodic search for structural patterns in the time-evolving LTM. Each pattern is recorded as a contact matrix, an operation subject to a renormalization feedback loop. The validity of our approach is tested vis-a-vis experimentally-probed folding pathways eventually generating tertiary interactions in proteins which recover their active structure under in vitro renaturation conditions. As an illustration, we focus on determining significant folding intermediates and late kinetic bottlenecks that occur within the first 10 ms of the bovine pancreatic trypsin inhibitor renaturation process. The probed cooperativity and nucleation effects, as well as diffusion-collision stabilization of secondary structure are shown to result from the persistence of relatively stable patterns through successive (p-t-r) cycles, thus acting as seeding patterns for further growth or hierarchical development.
Fernández
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Instituto de Matemática (INMABB), Consejo Nacional de Investigaciones Científicas y Técnicas, Universidad Nacional del Sur, Avenida Alem 1253, Bahía Blanca 8000, Argentina.
D000465:Algorithms; D000818:Animals; D007611:Aprotinin / Q000737:chemistry; D002417:Cattle; D055598:Chemical Phenomena; D002627:Chemistry, Physical; D003198:Computer Simulation; D007700:Kinetics; D008838:Microcomputers; D008956:Models, Chemical; D011487:Protein Conformation; D017510:Protein Folding; D011506:Proteins / Q000737:chemistry*; D013816:Thermodynamics
D011506:Proteins; D007611:Aprotinin