The fundamental stellar atmospheric parameters (T eff and log g) and 13 chemical abundances are derived for medium-resolution spectroscopy from LAMOST Medium-Resolution Survey (MRS) data sets with a deep-learning method. The neural networks we designed, named as SPCANet, precisely map LAMOST MRS spectra to stellar parameters and chemical abundances. The stellar labels derived by SPCANet are with precisions of 119 K for T eff and 0.17 dex for log g. The abundance precision of 11 elements including [[Fe/H], and [Ni/H] are 0.06∼0.12 dex, while of [Cu/H] is 0.19 dex. These precisions can be reached even for spectra with signal-to-noise as low as 10. The results of SPCANet are consistent with those from other surveys such as APOGEE, GALAH and RAVE, and are also validated with the previous literature values including clusters and field stars. The catalog of the estimated parameters is available at http://paperdata.china-vo.org/LAMOST/MRS parameters elements.csv.

The discovery of hypoxia-inducible factor-1 has led to a rapidly increasing understanding of the molecular mechanism of tumor hypoxia in the past two decades. Today it is generally accepted that HIF-1 plays a pivotal role in the cellular response to tumor hypoxia which represents a major obstacle to the success of radiotherapy and chemotherapy. Meanwhile, many details involved in the expression, accumulation and transactivation of HIF-1 have been well elucidated. Targeting HIF-1 has become a novel and efficient strategy for cancer therapy and a number of agents have been developed aiming to suppress HIF-1. This review will concisely introduce the general knowledge on the molecular biology of HIF-1 and possible targets along the HIF-1 pathway. Moreover, a number of compounds reported with anti-HIF-1 activity are included and mainly classified as direct and indirect inhibitors based on their different modes of action. While direct HIF-1 inhibitors prevent HIF-1 from transactivation, DNA binding and subsequently initiating transcriptional activity, indirect HIF-1 inhibitors generally block the transcription or translation of HIF-1α or promote the degradation of HIF-1α protein. According to different structural features, direct HIF-1 inhibitors are divided into several groups: polyamides, quinols and naphthoquinone spiroketal analogues, shikonin derivatives, epidithiodiketopiperazines, and two representative drugs: echinomycin and bortezomib. In the same way, indirect inhibitors comprise the following classes: polyphenols, benzoazaheterocycles, rapamycins, camptothecins, geldanamycins, (aryloxyacetylamino)benzoic acid analogues, 2-methoxyestradiol and analogues, hydroxamic acid compounds and others. The rest with mechanism still not so clear would also be listed and introduced, with an emphasis on the marinederived natural products. The in vitro and/or in vivo activities of these compounds and their mechanisms of HIF-1 inhibition would be discussed and the SARs of unique structural types of HIF-1 inhibitors will be briefly concluded.

Open reading frame 132 (Ha132) of Helicoverpa armigera nucleopolyhedrovirus (HearNPV) is a homologue of per os infectivity factor 2 (pif-2) of Spodoptera exigua multiple nucleopolyhedrovirus. Sequence analysis indicated that Ha132 encoded a protein of 383 aa with a predicted molecular mass of 44?5 kDa. Alignment of HA132 and its baculovirus homologues revealed that HA132 was highly conserved among baculoviruses, with 14 absolutely conserved cysteine residues. RT-PCR indicated that Ha132 was first transcribed at 24 h post-infection. Western blot analysis showed that a 43 kDa band was detectable in HearNPV-infected HzAM1 cells from 36 h post-infection. Western blots also indicated that HA132 was a component of the occlusion-derived virus, but not of budded virus. Deletion of Ha132 from HearNPV abolished per os infectivity, but had no effect on the infectivity of the budded virus phenotype.

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