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We report a nonrelativistic self-consistent, all-electron, local-density-functional calculation of the electronic structure of silver. The linear combination of Gaussian orbitals method is used. We present our results for the band structure, density of states, Fermi surface, Compton profiles, and optical conductivity. Our results are compared with experiments and with other calculations where possible.

We have developed a geometric clustering algorithm using backbone φ,ψ angles to group conformationally similar peptide fragments of any length. By labeling each fragment in the cluster with the level-specific Gene Ontology 'molecular function' term of its protein, we are able to compute statistics for molecular function-propensity and p-value of individual fragments in the cluster. Clustering-cum-statistical analysis for peptide fragments 8 residues in length and with only trans peptide bonds shows that molecular function propensities ≥20 and p-values ≤0.05 can dissect fragments within a protein linked to the molecular function.

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