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T H LaBean

Publications and source records attributed to T H LaBean.

6 recordsLinked to original sources

Logical computation using algorithmic self-assembly of DNA triple-crossover molecules.

Recent work has demonstrated the self-assembly of designed periodic two-dimensional arrays composed of DNA tiles, in which the intermolecular contacts are directed by 'sticky' ends. In a mathematical context, aperiodic mosaics may be formed by the self-assembly of 'Wang' tiles, a process that emulates the operation of a Turing machine. Macroscopic self-assembly has been used to perform computations; there is also a logical equivalence between DNA sticky ends and Wang tile edges. This suggests that the self-assembly of DNA-based tiles could be used to perform DNA-based computation. Algorithmic aperiodic self-assembly requires greater fidelity than periodic self-assembly, because correct tiles must compete with partially correct tiles. Here we report a one-dimensional algorithmic self-assembly of DNA triple-crossover molecules that can be used to execute four steps of a logical (cumulative XOR) operation on a string of binary bits.

Algorithms↗

Visualizing and quantifying molecular goodness-of-fit: small-probe contact dots with explicit hydrogen atoms.

The technique of small-probe contact dot surfaces is described as a method for calculating and displaying the detailed atomic contacts inside or between molecules. It allows one both to measure and to visualize directly the goodness-of-fit of packing interactions. It requires both highly accurate structures and also the explicit inclusion of all hydrogen atoms and their van der Waals interactions. A reference dataset of 100 protein structures was chosen on the basis of resolution (1.7 A or better), crystallographic R-value, non-homology, and the absence of any unusual problems. Hydrogen atoms were added in standard geometry and, where needed, with rotational optimization of OH, SH, and NH+3 positions. Side-chain amide orientations were corrected where required by NH van der Waals clashes, as described in the accompanying paper. It was determined that, in general, methyl groups pack well in the default staggered conformation, except for the terminal methyl groups of methionine residues, which required rotational optimization. The distribution of serious clashes (i.e. non-H-bond overlap of >/=0.4 A) was studied as a function of resolution, alternate conformations, and temperature factor (B), leading to the decision that packing and other structural features would not be analyzed for residues in 'b' alternate conformations or with B-factors of 40 or above. At the level of the fine details analyzed here, structural accuracy improves quite significantly over the range from 1.7 to 1.0 A resolution. These high-resolution structures show impressively well-fitted packing interactions, with some regions thoroughly interdigitated and other regions somewhat sparser. Lower-resolution structures or model structures could undoubtedly be improved in accuracy by the incorporation of this additional information: for example, nucleic acid structures in non-canonical conformations are often very accurate for the bases and much less reliable for the backbone, whose conformation could be specified better by including explicit H atom geometry and contacts. The contact dots are an extremely sensitive method of finding problem areas, and often they can suggest how to make improvements. They can also provide explanations for structural features that have been described only as empirical regularities, which is illustrated by showing that the commonest rotamer of methionine (a left-handed spiral, with all chi values near -60 degrees) is preferred because it provides up to five good H atom van der Waals contacts. This methodology is thus applicable in two different ways: (1) for finding and correcting errors in structure models (either experimental or theoretical); and (2) for analyzing interaction patterns in the molecules themselves.

Crystallography, X-Ray↗

Estimating the contributions of selection and self-organization in RNA secondary structure.

In addition to characteristic structural properties imposed by evolutionary modification, evolved, single-stranded RNAs also display characteristic structural properties imposed by intrinsic physical constraints on RNA polymer folding. The balance of intrinsic and functionally selected characters in the folded conformation of evolved secondary structures was determined by comparing the predicted secondary structures of evolved and unevolved (random) RNA sequences. Though evolved conformations are significantly more ordered than conformations of random-sequence RNA, this analysis demonstrates that the majority of conformational order within evolved structures results not from evolutionary optimization but from constraints imposed by rules intrinsic to RNA polymer folding.

Algorithms↗

Global similarities in nucleotide base composition among disparate functional classes of single-stranded RNA imply adaptive evolutionary convergence.

The number of distinct functional classes of single-stranded RNAs (ssRNAs) and the number of sequences representing them are substantial and continue to increase. Organizing this data in an evolutionary context is essential, yet traditional comparative sequence analyses require that homologous sites can be identified. This prevents comparative analysis between sequences of different functional classes that share no site-to-site sequence similarity. Analysis within a single evolutionary lineage also limits evolutionary inference because shared ancestry confounds properties of molecular structure and function that are historically contingent with those that are imposed for biophysical reasons. Here, we apply a method of comparative analysis to ssRNAs that is not restricted to homologous sequences, and therefore enables comparison between distantly related or unrelated sequences, minimizing the effects of shared ancestry. This method is based on statistical similarities in nucleotide base composition among different functional classes of ssRNAs. In order to denote base composition unambiguously, we have calculated the fraction G+A and G+U content, in addition to the more commonly used fraction G+C content. These three parameters define RNA composition space, which we have visualized using interactive graphics software. We have examined the distribution of nucleotide composition from 15 distinct functional classes of ssRNAs from organisms spanning the universal phylogenetic tree and artificial ribozymes evolved in vitro. Surprisingly, these distributions are biased consistently in G+A and G+U content, both within and between functional classes, regardless of the more variable G+C content. Additionally, an analysis of the base composition of secondary structural elements indicates that paired and unpaired nucleotides, known to have different evolutionary rates, also have significantly different compositional biases. These universal compositional biases observed among ssRNAs sharing little or no sequence similarity suggest, contrary to current understanding, that base composition biases constitute a convergent adaptation among a wide variety of molecular functions.

Computer Graphics↗

Libraries of random-sequence polypeptides produced with high yield as carboxy-terminal fusions with ubiquitin.

Libraries of random-sequence polypeptides have been shown to be valuable sources of novel molecules possessing a variety of useful biologic-like activities, some of which may hold promise as potential vaccines and therapeutics. Previous random peptide expression systems were limited to low levels of peptide production and often to short sequences. Here we describe a series of libraries designed for increased polypeptide length. Cloned as carboxy-terminal extensions of ubiquitin, the fusions were produced in E. coli at high levels, and were purified to homogeneity. The majority of the extension proteins examined could be cleaved from ubiquitin by treatment with a ubiquitin-fusion hydrolase. The libraries described here are appropriate sources of novel polypeptides with desired binding or catalytic function, as well as tools with which to examine inherent properties of proteins as a whole. Toward the latter goal, we have examined structural properties of random-sequence proteins purified from these libraries. Quite surprisingly, fluorescence emission spectra of intrinsic tryptophan residues in several purified fusion proteins, under native-like and denaturing conditions, often resemble those expected for folded and unfolded states, respectively. The results presented here detail an important expansion in the range of potential uses for random-sequence polypeptide libraries.

Amino Acids↗

Design of synthetic gene libraries encoding random sequence proteins with desired ensemble characteristics.

Libraries of random sequence polypeptides are useful as sources of unevolved proteins, novel ligands, and potential lead compounds for the development of vaccines and therapeutics. The expression of small random peptides has been achieved previously using DNA synthesized with equimolar mixtures of nucleotides. For many potential uses of random polypeptide libraries, concerns such as avoiding termination codons and matching target amino acid compositions make more complex designs necessary. In this study, three mixtures of nucleotides, corresponding to the three positions in the codon, were designed such that semirandom DNA synthesized by repeated cycles of the three mixtures created an open reading frame encoding random sequence polypeptides with desired ensemble characteristics. Two methods were used to design the nucleotide mixtures: the manual use of a spreadsheet and a refining grid search algorithm. Using design targets of less than or equal to 1% stop codons and an amino acid composition based on the average ratios observed in natural, globular proteins, the search methods yielded similar nucleotide ratios, Semirandom DNA, synthesized with a designed, three-residue repeat pattern, can encode libraries of very high diversity and represents an important tool for the construction of random polypeptide libraries.

Amino Acid Sequence↗