The protein folding problem is a central issue in Bioinformatics. It still represents a challenge for both Biology and Computer Science. Proteins are composed by up to hundreds of amino acids, each one with tenths of atoms. In general, a full representation of such structure and its interacting elements precludes computational simulations. This work proposes a molecular model for representing protein structures. This new model preserves some physico-chemical properties of the original protein and is aimed at allowing efficient computational simulations. A simulation of the model using a multiagents system is reported. Results so far suggest the adequacy of the proposed model for representing protein structures and their folding process with a reasonable complexity and suitable expressiveness.
机构:
MEM SLOAN KETTERING CANC CTR, CELLULAR BIOCHEM & BIOPHYS PROGRAM, NEW YORK, NY 10021 USAMEM SLOAN KETTERING CANC CTR, CELLULAR BIOCHEM & BIOPHYS PROGRAM, NEW YORK, NY 10021 USA
机构:
MEM SLOAN KETTERING CANC CTR, HOWARD HUGHES MED INST, CELLULAR BIOCHEM BIOPHYS PROGRAM, NEW YORK, NY 10021 USAMEM SLOAN KETTERING CANC CTR, HOWARD HUGHES MED INST, CELLULAR BIOCHEM BIOPHYS PROGRAM, NEW YORK, NY 10021 USA
Hendrick, JP
Hartl, FU
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MEM SLOAN KETTERING CANC CTR, HOWARD HUGHES MED INST, CELLULAR BIOCHEM BIOPHYS PROGRAM, NEW YORK, NY 10021 USAMEM SLOAN KETTERING CANC CTR, HOWARD HUGHES MED INST, CELLULAR BIOCHEM BIOPHYS PROGRAM, NEW YORK, NY 10021 USA