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M E Karpen

Publications and source records attributed to M E Karpen.

3 recordsLinked to original sources

Differences in the amino acid distributions of 3(10)-helices and alpha-helices.

Local determinants of 3(10)-helix stabilization have been ascertained from the analysis of the crystal structure data base. We have clustered all 5-length substructures from 51 nonhomologous proteins into classes based on the conformational similarity of their backbone dihedral angles. Several clusters, derived from 3(10)-helices and multiple-turn conformations, had strong amino acid sequence patterns not evident among alpha-helices. Aspartate occurred over twice as frequently in the N-cap position of 3(10)-helices as in the N-cap position of alpha-helices. Unlike alpha-helices, 3(10)-helices had few C-termini ending in a left-handed alpha conformation; most 3(10) C-caps adopted an extended conformation. Differences in the distribution of hydrophobic residues among 3(10)- and alpha-helices were also apparent, producing amphipathic 3(10)-helices. Local interactions that stabilize 3(10)-helices can be inferred both from the strong amino acid preferences found for these short helices, as well as from the existence of substructures in which tertiary interactions replace consensus local interactions. Because the folding and unfolding of alpha-helices have been postulated to proceed through reverse-turn and 3(10)-helix intermediates, sequence differences between 3(10)- and alpha-helices can also lend insight into factors influencing alpha-helix initiation and propagation.

Amino Acid Sequence

A common pentapeptide conformation occurs in viral acid proteases and other proteins.

We found a pentapeptide conformation, termed a type I twist, which has a strikingly high propensity (56%) for aspartic acid in the first position. Type I twists include the active site loops from cellular and viral aspartic proteases, with the catalytic Asp in the first position. Fifteen other type I twists, from non-homologous proteins, were found among high-resolution structures in the Protein Data Bank using a comparison method based on main-chain torsion angles. We propose that the Asp affects electrostatic interactions and thus plays a major structural role in the formation of this recurring motif, in addition to its catalytic role in the aspartic proteases.

Amino Acid Sequence

Comparing short protein substructures by a method based on backbone torsion angles.

An efficient algorithm was characterized that determines the similarity in main chain conformation between short protein substructures. The algorithm computes delta t, the root mean square difference in phi and psi torsion angles over a small number of amino acids (typically 3-5). Using this algorithm, large numbers of protein substructure comparisons were feasible. The parameter delta t was sensitive to variations in local protein conformation, and it correlates with delta r, the root mean square deviation in atomic coordinates. Values for delta t were obtained that define similarity thresholds, which determine whether two substructures are considered structurally similar. To set a lower bound on the similarity threshold, we estimated the component of delta t due to measurement noise from comparisons of independently refined coordinates of the same protein. A sample distribution of delta t from nonhomologous protein comparisons identified an upper bound on the similarity threshold, one that refrains from incorporating large numbers of nonmatching comparisons. Unlike methods based on C alpha atoms alone, delta t was sensitive to rotations in the peptide plane, shown to occur in several proteins. Comparisons of homologous proteins by delta t showed that the active site torsion angles are highly conserved. The delta t method was applied to the alpha-chain of human hemoglobin, where it readily demonstrated the local differences in the structures of different ligation states.

Algorithms