Lessons Learned in Implementing an Aging Research Training Program for Underrepresented Minority Students.

This brief report provides an overview of lessons learned through evaluation of the first five years of the NIA-funded South Carolina-Advancing Diversity in Aging Research (SC-ADAR) undergraduate program, whose goal is to increase the number of qualified underrepresented minority (URM) students who pursue scientific graduate studies in programs focusing on medicine, science, technology, engineering, and mathematics and aging. Partnering with five Historically Black Colleges and Universities in South Carolina, we implemented a research training approach that included two consecutive summers of research training in a University of South Carolina faculty laboratory, as part of a comprehensive 24-month research education program. In addition to the mentored research experience in a laboratory, students had coursework in the biology of aging and social gerontology, with additional workshops tailored to emergent student needs including basic academic skills development, work-life management skills, reflective social experiences, and enhanced support in the transition from undergraduate to graduate school. We provide an overview of lessons learned throughout the early program period, and a description of the iterative changes we made in the program in response to this learning, all of which have been incorporated into the existing SC-ADAR program.

Improvements to the APBS biomolecular solvation software suite.

The Adaptive Poisson-Boltzmann Solver (APBS) software was developed to solve the equations of continuum electrostatics for large biomolecular assemblages that have provided impact in the study of a broad range of chemical, biological, and biomedical applications. APBS addresses the three key technology challenges for understanding solvation and electrostatics in biomedical applications: accurate and efficient models for biomolecular solvation and electrostatics, robust and scalable software for applying those theories to biomolecular systems, and mechanisms for sharing and analyzing biomolecular electrostatics data in the scientific community. To address new research applications and advancing computational capabilities, we have continually updated APBS and its suite of accompanying software since its release in 2001. In this article, we discuss the models and capabilities that have recently been implemented within the APBS software package including a Poisson-Boltzmann analytical and a semi-analytical solver, an optimized boundary element solver, a geometry-based geometric flow solvation model, a graph theory-based algorithm for determining pKa values, and an improved web-based visualization tool for viewing electrostatics.