Protein quality assessment with a loss function designed for high-quality decoys.

The prediction of a protein 3D structure is essential for understanding protein function, drug discovery, and disease mechanisms; with the advent of methods like AlphaFold that are capable of producing very high-quality decoys, ensuring the quality of those decoys can provide further confidence in the accuracy of their predictions. In this work, we describe Q, a graph convolutional network (GCN) that utilizes a minimal set of atom and residue features as inputs to predict the global distance test total score (GDTTS) and local distance difference test (lDDT) score of a decoy. To improve the model's performance, we introduce a novel loss function based on the -insensitive loss function used for SVM regression.

Nanohybrids of atomically precise metal nanoclusters.

Atomically precise metal nanoclusters (NCs) with molecule-like structures are emerging nanomaterials with fascinating chemical and physical properties. Photoluminescence (PL), catalysis, sensing, etc., are some of the most intriguing and promising properties of NCs, making the metal NCs potentially beneficial in different applications.

On the choice of negative examples for prediction of host-pathogen protein interactions.

As practitioners of machine learning in the area of bioinformatics we know that the quality of the results crucially depends on the quality of our labeled data. While there is a tendency to focus on the quality of positive examples, the negative examples are equally as important. In this opinion paper we revisit the problem of choosing negative examples for the task of predicting protein-protein interactions, either among proteins of a given species or for host-pathogen interactions and describe important issues that are prevalent in the current literature.

Active leisure, passive leisure and health.

Leisure consumption has been increasing in the United States since the 1960s. Over the same period, inactive lifestyles have contributed to adverse health outcomes. We propose a new way of categorizing leisure into groups based on the amount of physical exercise needed.

Family-Related Factors Associated with Caries Prevalence in the Primary Dentition of 5-6-year-old Children in Urban and Rural Areas of Jabalpur City.

Aim: The purpose of this study was to examine the prevalence of dental caries in primary dentition of 5-6-year-old children in urban and rural areas of Jabalpur city.

Materials And Methods: The present cross-sectional study was conducted in the rural and urban areas of Jabalpur city, India. A power analysis was carried out to select a representative sample of 5-6-year-old children ( = 408), 204 from government schools and 204 from private schools.