Protein structure generation via folding diffusion.

The ability to computationally generate novel yet physically foldable protein structures could lead to new biological discoveries and new treatments targeting yet incurable diseases. Despite recent advances in protein structure prediction, directly generating diverse, novel protein structures from neural networks remains difficult. In this work, we present a diffusion-based generative model that generates protein backbone structures via a procedure inspired by the natural folding process.

Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular Dynamics.

Coarse-grained (CG) molecular dynamics enables the study of biological processes at temporal and spatial scales that would be intractable at an atomistic resolution. However, accurately learning a CG force field remains a challenge. In this work, we leverage connections between score-based generative models, force fields, and molecular dynamics to learn a CG force field without requiring any force inputs during training.

Palliative and terminal care at home as portrayed in Dutch newspapers in 2009 compared to 2000.

Background: Terminal care at home is receiving increased attention from the Dutch media, which is relevant for primary care providers.

Objectives: To explore the portrayal of terminal care at home in newspapers in the Netherlands in 2000 and in 2009.

Method: We performed a systematic analysis of documents retrieved from the LexisNexis Academic NL database.

Non-responsiveness to hepatitis B vaccination in HIV seropositive patients; possible causes and solutions.

Hyporesponsiveness (anti-HBs 10-100 IU/l) or non-responsiveness (anti-HBs < 10 IU/l) to hepatitis B vaccines is a problem in approximately 20-70% of HIV-positive patients. Mechanisms for impaired humoral and cellular immunity related to the HIV infection are reviewed. Contributing risk factors like age, gender, CD4+ T-cell count, HIV RNA load and coinfection with hepatitis C are highlighted.