Dual-Engineered Macrophage-Microbe Encapsulation for Metastasis Immunotherapy.

Lung metastases are the leading cause of death among cancer patients. The challenges of inefficient drug delivery, compounded by a robust immunosuppressive microenvironment, make effective treatment difficult. Here, an innovative dual-engineered macrophage-microbe encapsulation (Du-EMME) therapy is developed that integrates modified macrophages and engineered antitumor bacteria.

Computational and Crystallographic Analysis of Binding Structures of Inhibitory Compounds for HIV-1 RNase H Activity.

Chemotherapy of human immunodeficiency virus type-1 (HIV-1) has significantly developed over the last three decades. The emergence of drug-resistant variants is, however, still a severe problem. The RNase H activity of HIV-1 reverse transcriptase is an attractive target for a new class of antiviral drugs because there is no approved inhibitor.

A Neighborhood Model with Both Distance and Quantity Constraints for Multilabel Data.

In this paper, a novel distance-based multilabel classification algorithm is proposed. The proposed algorithm combines k-nearest neighbors (kNN) with neighborhood classifier (NC) to impose double constraints on the quantity and distance of the neighbors. In short, the radius constraint is introduced in the kNN model to improve the classification accuracy, and the quantity constraint is added in the NC model to speed up computing.

Xiaoyao Pill Improves the Affective Dysregulation of Sleep-deprived Female Mice by Inhibiting Brain Injury and Regulating the Content of Monoamine Neurotransmitter.

Background: Sleep curtailment is a serious problem in many societies. Clinical evidence has shown that sleep deprivation is associated with mood dysregulation, formation of false memory, cardio-metabolic risk factors and outcomes, inflammatory disease risk, and all-cause mortality. The affective disorder dysregulation caused by insufficient sleep has become an increasingly serious health problem.

Secondary Structure and Conformational Stability of the Antigen Residues Making Contact with Antibodies.

Antibodies are crucial biomolecules that bring high therapeutic efficacy in medicine and accurate molecular detection in diagnosis. Many studies have been devoted to analyzing the antigen-antibody interaction from the importance of understanding the antibody recognition mechanism. However, most of the previous studies examined the characteristic of the antibody for interaction.

Analysis of Binding Modes of Antigen-Antibody Complexes by Molecular Mechanics Calculation.

Antibodies are one of the most important protein molecules in biopharmaceutics. Due to the recent advance in technology for producing monoclonal antibodies, many structural data are available on the antigen-antibody complexes. To characterize the molecular interaction in antigen-antibody recognition, we computationally analyzed 500 complex structures by molecular mechanics calculations.