EMNPD: a comprehensive endophytic microorganism natural products database for prompt the discovery of new bioactive substances.

The discovery and utilization of natural products derived from endophytic microorganisms have garnered significant attention in pharmaceutical research. While remarkable progress has been made in this field each year, the absence of dedicated open-access databases for endophytic microorganism natural products research is evident. To address the increasing demand for mining and sharing of data resources related to endophytic microorganism natural products, this study introduces EMNPD, a comprehensive endophytic microorganism natural products database comprising manually curated data.

A systematic review of state-of-the-art strategies for machine learning-based protein function prediction.

New drug discovery is inseparable from the discovery of drug targets, and the vast majority of the known targets are proteins. At the same time, proteins are essential structural and functional elements of living cells necessary for the maintenance of all forms of life. Therefore, protein functions have become the focus of many pharmacological and biological studies.

A systematic review on the state-of-the-art strategies for protein representation.

The study of drug-target protein interaction is a key step in drug research. In recent years, machine learning techniques have become attractive for research, including drug research, due to their automated nature, predictive power, and expected efficiency. Protein representation is a key step in the study of drug-target protein interaction by machine learning, which plays a fundamental role in the ultimate accomplishment of accurate research.

A prediction model of MF radiation in environmental assessment.

Objective: To predict the impact of MF radiation on human health.

Methods: The vertical distribution of field intensity was estimated by analogism on the basis of measured values from simulation measurement.

Results: A kind of analogism on the basis of geometric proportion decay pattern is put forward in the essay.

Study on model of indoor air pollution forecast for decoration under natural ventilation condition.

Objective: To establish the model of indoor air pollution forecast for decoration.

Methods: The model was based on the balance model for diffusing mass.

Results: The data between testing concentration and estimating concentration were compared.