Generating molecules with desired chemical properties is important for drug discovery. The use of generative neural networks is promising for this task. However, from visual inspection, it often appears that generated samples lack diversity. In this paper, we quantify internal chemical diversity, and we raise the following challenge: can a nontrivial AI model reproduce natural chemical diversit...

Community structure has been widely identified as a feature of many real-world networks. It has been shown that the antigenic diversity of a pathogen population can be significantly affected by the contact network of its hosts; however, the effects of community structure have not yet been explored. Here, we examine the congruence between patterns of antigenic diversity in pathogen populations i...

Bacterial abundance, biomass, cell volume, and morphological diversity were studied in sediment samples collected from the coastal area of the eastern mid Adriatic Sea. Samples from the topmost 10 cm of sediment were taken monthly from January to December 2002. The number of bacteria varied from 3.54 x 109 cells g–1 in July to 8.08 x 109 cells g–1 in September. Biomass was lowest in May (78 μg ...

Evolutionary genetics studies the patterns and mechanisms of genetic changes underlying evolutionary change. Because biological diversity at all levels (including population, species, and ecosystem diversity) has a genetic basis and is a result of evolution, evolutionary genetics provides insight into the ultimate mechanisms creating biodiversity. Evolutionary genetics utilizes empirical tools ...

Massive star formation exhibits an extremely rich chemistry. However, not much evolutionary details are known yet, especially at high spatial resolution. Therefore, we synthesize previously published Submillimeter Array high-spatial-resolution spectral line observations toward four regions of highmass star formation that are in various evolutionary stages with a range of luminosities. Estimatin...

Protein kinases play crucial roles in regulating virtually every cellular process and are currently attracting tremendous interest as drug targets from the pharmaceutical industry. The major challenges facing the development of the potential kinase inhibitor drugs are: selectivity, physical properties (solubility, molecular weight), and pharmacological properties (bioavailability, half life, to...