Simulation and Machine Learning Methods for Ion-Channel Structure Determination, Mechanistic Studies and Drug Design.

Ion channels are expressed in almost all living cells, controlling the in-and-out communications, making them ideal drug targets, especially for central nervous system diseases. However, owing to their dynamic nature and the presence of a membrane environment, ion channels remain difficult targets for the past decades. Recent advancement in cryo-electron microscopy and computational methods has shed light on this issue. An explosion in high-resolution ion channel structures paved way for structure-based rational drug design and the state-of-the-art simulation and machine learning techniques dramatically improved the efficiency and effectiveness of computer-aided drug design. Here we present an overview of how simulation and machine learning-based methods fundamentally changed the ion channel-related drug design at different levels, as well as the emerging trends in the field.

The Taxus genome provides insights into paclitaxel biosynthesis.

The ancient gymnosperm genus Taxus is the exclusive source of the anticancer drug paclitaxel, yet no reference genome sequences are available for comprehensively elucidating the paclitaxel biosynthesis pathway. We have completed a chromosome-level genome of Taxus chinensis var. mairei with a total length of 10.23 gigabases. Taxus shared an ancestral whole-genome duplication with the coniferophyte lineage and underwent distinct transposon evolution. We discovered a unique physical and functional grouping of CYP725As (cytochrome P450) in the Taxus genome for paclitaxel biosynthesis. We also identified a gene cluster for taxadiene biosynthesis, which was formed mainly by gene duplications. This study will facilitate the elucidation of paclitaxel biosynthesis and unleash the biotechnological potential of Taxus.

Molecular basis for high ligand sensitivity and selectivity of strigolactone receptors in Striga.

Seeds of the root parasitic plant Striga hermonthica can sense very low concentrations of strigolactones (SLs) exuded from host roots. The S. hermonthica hyposensitive to light (ShHTL) proteins are putative SL receptors, among which ShHTL7 reportedly confers sensitivity to picomolar levels of SL when expressed in Arabidopsis thaliana. However, the molecular mechanism underlying ShHTL7 sensitivity is unknown. Here we determined the ShHTL7 crystal structure and quantified its interactions with various SLs and key interacting proteins. We established that ShHTL7 has an active-site pocket with broad-spectrum response to different SLs and moderate affinity. However, in contrast to other ShHTLs, we observed particularly high affinity of ShHTL7 for F-box protein AtMAX2. Furthermore, ShHTL7 interacted with AtMAX2 and with transcriptional regulator AtSMAX1 in response to nanomolar SL concentration. ShHTL7 mutagenesis analyses identified surface residues that contribute to its high-affinity binding to AtMAX2 and residues in the ligand binding pocket that confer broad-spectrum response to SLs with various structures. Crucially, yeast-three hybrid experiments showed that AtMAX2 confers responsiveness of the ShHTL7-AtSMAX1 interaction to picomolar levels of SL in line with the previously reported physiological sensitivity. These findings highlight the key role of SL-induced MAX2-ShHTL7-SMAX1 complex formation in determining the sensitivity to SL. Moreover, these data suggest a strategy to screen for compounds that could promote suicidal seed germination at physiologically relevant levels.

The genomic architecture of the sex-determining region and sex-related metabolic variation in Ginkgobiloba.

Sex differences and evolutionary differences are critical biological issues. Ginkgo is an ancient lineage of dioecious gymnosperms with special value for studying the mechanism of sex determination in plants. However, the major genetic basic underlying sex chromosomes remains to be uncovered. In this study, we identify the sex-determining region of Ginkgo and locate it to the area from megabases 48 to 75 on chromosome 2. We find that the male sex-determining region of Ginkgo contains more than 200 genes, including four MADS-box genes, demonstrating that the Ginkgo sex determination system is of the XY type. We also find that genetic sex differences result in specialized flavonoid metabolism and regulation in each sex. These findings establish a foundation for revealing the molecular mechanism of sexual dimorphism and promoting the development of the Ginkgo industry.

Quantitative molecular tissue atlas of Bis(monoacylglycero)phosphate and phosphatidylglycerol membrane lipids in rodent organs generated by methylation assisted high resolution mass spectrometry.

Bis(monoacylglycero)phosphate (BMP) and phosphatidylglycerol (PG) are structural isomeric phospholipids with very different properties and biological functions. Due to their isomeric nature, it has thus far been challenging to simultaneously quantify BMP and PG lipids in tissue samples by mass spectrometry. Therefore, we have developed a sensitive LC-MS/MS based approach with prior methylation derivatization that is able to handle large batches of samples. Using this high throughput platform, a simulated MS/MS database was established for confident lipid assignment. In this work, we have simultaneously identified and quantified BMP and PG lipid molecules in different body tissues of rats and mice. We report for the first time a quantitative molecular atlas of BMP and PG lipids for 14 different tissues and organs in Wistar rats, NMRI and CD1 mice. Organ- and species-specificity was analyzed and compared for both lipid molecule classes. A total of 34 BMP and 10 PG molecules were quantified, with PG concentrations being generally much higher across tissues than BMP, but BMP lipids showing a much higher molecular diversity between animal organs. The large diversity of the BMP lipids with regard to their abundance and molecular composition suggests distinct biological function(s) of the individual BMP molecules in different tissues and organs of body. Particularly high tissue levels of BMP were seen in spleen, lung, liver, kidney and small intestines, i.e. tissues that are known for their high abundance and/or activity level of lysosomes late and endosomes. Elevated BMP levels in brain tissue of APP/PSEN transgenic compared to age matched wild-type mice were also observed using this platform. This analytical methodology presented a high throughput LC-based approach incorporating simulated MS/MS database to identify and quantify BMP lipids as well as PG molecules.