Test site instrumentation study. Volume II: Crash 1 and Crash 2 "raw" data. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Class II injection wells and your drinking water.

Mode of access: Internet.

Used car safety standards (vehicle safety status). Final report. Volume II (SNS 1-10).

National Highway Safety Bureau, Washington, D.C.

An alphabetical abridgment of the laws for the prevention of smuggling : from 12 Car. II. to 1 & 2 Geo. IV. inclusive.

Mode of access: Internet.

Die Theorie der Beredsamkeit, mit besonderer Anwendung auf die geistliche Beredsamkeit in ihrem ganzen Umfange dargestellt. Theil I; II; III, 1.

Each vol. has also separate individual title-page.

Organizational and direct support, repair parts, and special tools list for drill, pneumatic, drifter, crawler mounted, self propelled, dry type, 220 lb class, minimum 4-1/2 inch bore, power feed, 1-1/2 inch lugged shank chuck w/ 12 each [sic] shank rock drill (Chicago Pneumatic Tool Company model G-900) (NSN 3820-00-930-1917).

"May 1976."

Die Bedeutung der Binnenschiffahrt fur die deutsche Seeschiffahrt : I. Teil und II. Teil, 1. Abschnitt.

Thesis (doctoral)--Kgl. Ludwig-Maximilians-Universitat Munchen.

Fragm. lat. II 9 - 1. Expositio in Cantica canticorum 2. Theologische Notate

Trägerband: Ms. Barth. 54; Vorbesitzer: Johannes Mushunt de Fulda; Bartholomaeusstift Frankfurt am Main

Fragm. lat. I 99 - Liber dialogorum (L.II c.1 - 2 Vita s.Benedicti; PL 66,126 - 132)

Trägerband: 15/474; Vorbesitzer: Dominikanerkloster Frankfurt am Main

Prediction of HLA-DQ3.2 beta ligands: evidence of multiple registers in class II binding peptides

Motivation: While processing of MHC class II antigens for presentation to helper T-cells is essential for normal immune response, it is also implicated in the pathogenesis of autoimmune disorders and hypersensitivity reactions. Sequence-based computational techniques for predicting HLA-DQ binding peptides have encountered limited success, with few prediction techniques developed using three-dimensional models. Methods: We describe a structure-based prediction model for modeling peptide-DQ3.2 beta complexes. We have developed a rapid and accurate protocol for docking candidate peptides into the DQ3.2 beta receptor and a scoring function to discriminate binders from the background. The scoring function was rigorously trained, tested and validated using experimentally verified DQ3.2 beta binding and non-binding peptides obtained from biochemical and functional studies. Results: Our model predicts DQ3.2 beta binding peptides with high accuracy [area under the receiver operating characteristic (ROC) curve A(ROC) > 0.90], compared with experimental data. We investigated the binding patterns of DQ3.2 beta peptides and illustrate that several registers exist within a candidate binding peptide. Further analysis reveals that peptides with multiple registers occur predominantly for high-affinity binders.