Pain Predicts Dropout From Substance Use Treatment.

Objective: This project aimed to characterize the relationship between physical pain experienced at time of entry to residential treatment for substance use disorders (SUDs) and the frequency of treatment dropout. We hypothesized that both endorsement of recent pain and higher magnitude of endorsed pain intensity would be associated with higher dropout rates. We further hypothesized that these effects would be exacerbated among patients with opioid use disorder (OUD).

Co-occurring pain and addiction: prognostic implications for healthcare professionals in residential treatment for substance use disorder.

: Chronic pain is both an important antecedent and consequence of substance use. Although evidence suggests healthcare professionals may be uniquely vulnerable to chronic pain, this vulnerability remains largely unexamined in the context of recovery from substance use disorders (SUDs). We characterized pain in a sample of treatment-seeking individuals, examined potential differences in pain trajectories between healthcare professionals and non-healthcare patients, and interrogated potential pain-related vulnerabilities in treatment outcomes between these groups.

Symmetry-adapted digital modeling III. Coarse-grained icosahedral viruses.

Considered is the coarse-grained modeling of icosahedral viruses in terms of a three-dimensional lattice (the digital modeling lattice) selected among the projected points in space of a six-dimensional icosahedral lattice. Backbone atomic positions (Cα's for the residues of the capsid and phosphorus atoms P for the genome nucleotides) are then indexed by their nearest lattice point. This leads to a fine-grained lattice point characterization of the full viral chains in the backbone approximation (denoted as digital modeling).

Symmetry-adapted digital modeling II. The double-helix B-DNA.

The positions of phosphorus in B-DNA have the remarkable property of occurring (in axial projection) at well defined points in the three-dimensional space of a projected five-dimensional decagonal lattice, subdividing according to the golden mean ratio τ:1:τ [with τ = (1+\sqrt {5})/2] the edges of an enclosing decagon. The corresponding planar integral indices n1, n2, n3, n4 (which are lattice point coordinates) are extended to include the axial index n5 as well, defined for each P position of the double helix with respect to the single decagonal lattice ΛP(aP, cP) with aP = 2.222 Å and cP = 0.

Symmetry-adapted digital modeling I. Axial symmetric proteins.

Considered are axial symmetric proteins exemplified by the octameric mitochondrial creatine kinase, the Pyr RNA-binding attenuation protein, the D-aminopeptidase and the cyclophilin A-cyclosporin complex, with tetragonal (422), trigonal (32), pentagonal (52) and pentagonal (52) point-group symmetry, respectively. One starts from the protein enclosing form, which is characterized by vertices at points of a lattice (the form lattice) whose dimension depends on the point group. This allows the indexing of Cα's at extreme radial positions.