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Hai-Bo Cao

Publications and source records attributed to Hai-Bo Cao.

2 recordsLinked to original sources

Codability criterion for picking proteinlike structures from random three-dimensional configurations.

We show that the dominant eigenvectors of real protein structural contact matrices are highly correlated with their amino acid sequences. These results suggests that an ab initio sequence-independent profile exists for every protein structure and that this profile is highly effective in differentiating the ordering of amino acids in natural protein sequences from random sequences. This profile provides a structural code and is a key for understanding the unique behavior of protein structures. Using a lattice model, we show that there are special codable structures highly separated from random structures in the dominant eigenvector space of their structural contact matrices. As an example, we show our results provide a good explanation to the "designable principle" of protein structures.

Amino Acid Sequence↗

Fast method for estimating the energy distribution of globular states of proteins.

By an enumeration study, we show that the energy distributions of a lattice protein sequence on all possible compact lattice configurations can be approximated by the energy distribution of shuffled sequences on a given lattice structure. We also show that the random energy model (REM) gives a good analytical approximation for the energy distribution of shuffled sequences on lattice structures. For real proteins, when a gapped threading method is used, REM calculations systematically underestimate the mean value of the energy distributions. We found that this discrepancy can be roughly compensated by a linear correction obtained from empirical fits. This result can be used to greatly reduce the computational effort in protein threading calculations.

Algorithms↗