Tris[2-(benzyl­imino­meth­yl)phenolato-κ2 N,O]iron(III)

In the title compound, [Fe(C14H12NO)3], the FeIII atom has a slightly distorted octa­hedral geometry and is coordinated by three Schiff base ligands, viz. 2-(benzyl­imino­methyl)­phenolate. The crystal structure is stabilized by intra­molecular C—H⋯O and C—H⋯N hydrogen bonds

Reducing the bottom-hole differential pressure by vortex and hydraulic jet methods

Reducing the bottom-hole differential pressure (BHDP) of a gas/oil well and so as to reduce the “chip hold-down effect” can significantly improve the rate of penetration (ROP). The fluid vortex and hydraulic jet methods are used to reduce the BHDP while the wellbore pressure is unchangeable to prevent wellbore instability. The depressurization theories of the two hydraulic pressure drawdown methods are studied. The structures, depressurization mechanism, depressurization capacity, and the current researches and developments of the hydraulic pressure drawdown tools, including the vortex tools and the jet hydraulic pressure drawdown tools (JHPDTs), are analyzed. Using field tests and flow field numerical calculation methods, the key factors which affect depressurization capacity of the vortex tools and the JHPDTs, and the design principles of the vortex bit and the jet pump bit are proposed. Different depressurization methods and structures are simulated, which shows the vortex and jet pump combination bit with 106 mm distance is preferable

4-{(Z)-(sec-Butyl­amino)(phen­yl)methyl­ene}-3-methyl-1-phenyl-1H-pyrazol-5(4H)-one

In the title compound, C21H23N3O, the dihedral angles formed by the pyrazolone ring with two phenyl rings are 10.38 (8) and 76.94 (6)°. The sec-butyl­amino group is disordered over two positions, with refined site-occupancy factors of 0.730 (4) and 0.270 (4). The compound could potentially be ligand stabilized in the solid state in a keto–enamine tautomeric form. The amine functionality is involved in an intra­molecular N—H⋯O hydrogen bond, while weak inter­molecular C—H⋯O and C—H⋯N hydrogen bonds participate in the formation of the crystal structure

3-[(Hydr­oxy)(4-isoprop­oxy-2-methoxy­phen­yl)methyl­ene]-1-isopropyl­pyrrol­idine-2,4-dione

The title compound, C18H23NO5, a potential herbicide, has an enol group that is intra­molecularly hydrogen bonded to a keto O atom. The dihedral angle between the six-membered ring formed by the enol group and the aromatic benzene ring is 53.35 (6)°

(4Z)-4-[(4-Methoxy­benzyl­amino)(phen­yl)methyl­ene]-3-methyl-1-phenyl-1H-pyrazol-5(4H)-one

In the title compound, C25H23N3O2, the dihedral angles formed by the pyrazolone ring with the three aromatic rings are 14.59 (7), 79.35 (5) and 87.10 (6)°. Three intra­molecular C—H⋯O, C—H⋯N and N—H⋯O hydrogen-bond inter­actions are present. The crystal structure is stabilized by two weak inter­molecular C—H⋯O and C—H⋯N hydrogen-bond inter­actions

1-sec-Butyl-3-[hy­droxy(1-methyl-1H-indol-3-yl)methyl­idene]pyrrolidine-2,4-dione

In the title compound, C18H20N2O3, the dihedral angle between the indole ring system (r.m.s. deviation = 0.018 Å) and the hy­droxy­methyl­enepyrrolidine-2,4-dione plane (r.m.s. deviation = 0.036 Å) is 9.87 (7)°. The keto and enol groups are involved in an intra­molecular O—H⋯O hydrogen bond. An intra­molecular C—H⋯O inter­action also occurs. The sec-butyl group is disordered over two orientations corresponding to an approximate 180° rotation about the N—C bond, with occupancies of 0.670 (6) and 0.330 (6). In the crystal, mol­ecules are linked into chains along the c axis by C—H⋯O hydrogen bonds

ASFV pA151R negatively regulates type I IFN production via degrading E3 ligase TRAF6

African swine fever (ASF) caused by African swine fever virus (ASFV) is a highly mortal and hemorrhagic infectious disease in pigs. Previous studies have indicated that ASFV modulates interferon (IFN) production. In this study, we demonstrated that ASFV pA151R negatively regulated type I IFN production. Ectopic expression of pA151R dramatically inhibited K63-linked polyubiquitination and Ser172 phosphorylation of TANK-binding kinase 1 (TBK1). Mechanically, we demonstrated that E3 ligase TNF receptor–associated factor 6 (TRAF6) participated in the ubiquitination of TBK1 in cGAS-STING signaling pathway. We showed that pA151R interacted with TRAF6 and degraded it through apoptosis pathway, leading to the disruption of TBK1 and TRAF6 interaction. Moreover, we clarified that the amino acids H102, C109, C132, and C135 in pA151R were crucial for pA151R to inhibit type I interferon production. In addition, we verified that overexpression of pA151R facilitated DNA virus Herpes simplex virus 1 (HSV-1) replication by inhibiting IFN-β production. Importantly, knockdown of pA151R inhibited ASFV replication and enhanced IFN-β production in porcine alveolar macrophages (PAMs). Our findings will help understand how ASFV escapes host antiviral immune responses and develop effective ASFV vaccines

(Z)-3-[(4-Eth­oxy­phen­yl)(hy­droxy)methyl­idene]-1-isopropyl­pyrrolidine-2,4-dione

In the title compound, C16H19NO4, a potent new herbicide, the dihedral angle between the benzene and pyrrolidine rings is 11.09 (8)°. Intra­molecular O—H⋯O and C—H⋯O hydrogen bonds are observed

Accurate Prediction of ncRNA-Protein Interactions From the Integration of Sequence and Evolutionary Information

Non-coding RNA (ncRNA) plays a crucial role in numerous biological processes including gene expression and post-transcriptional gene regulation. The biological function of ncRNA is mostly realized by binding with related proteins. Therefore, an accurate understanding of interactions between ncRNA and protein has a significant impact on current biological research. The major challenge at this stage is the waste of a great deal of redundant time and resource consumed on classification in traditional interaction pattern prediction methods. Fortunately, an efficient classifier named LightGBM can solve this difficulty of long time consumption. In this study, we employed LightGBM as the integrated classifier and proposed a novel computational model for predicting ncRNA and protein interactions. More specifically, the pseudo-Zernike Moments and singular value decomposition algorithm are employed to extract the discriminative features from protein and ncRNA sequences. On four widely used datasets RPI369, RPI488, RPI1807, and RPI2241, we evaluated the performance of LGBM and obtained an superior performance with AUC of 0.799, 0.914, 0.989, and 0.762, respectively. The experimental results of 10-fold cross-validation shown that the proposed method performs much better than existing methods in predicting ncRNA-protein interaction patterns, which could be used as a useful tool in proteomics research