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基于BIM深化机电工程综合管线排布研究
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作者 王譞绎 《中文科技期刊数据库(引文版)工程技术》 2024年第6期0027-0030,共4页
综合管线排布在机电工程中是重要的施工环节,但管线排布工程较为复杂,且排序合理性对工程质量和效率有着重要影响。BIM技术通过三维建模将机电管线等建筑元素数字化表达,使管线排布设计、施工和运营过程在虚拟环境中进行模拟、优化。这... 综合管线排布在机电工程中是重要的施工环节,但管线排布工程较为复杂,且排序合理性对工程质量和效率有着重要影响。BIM技术通过三维建模将机电管线等建筑元素数字化表达,使管线排布设计、施工和运营过程在虚拟环境中进行模拟、优化。这种技术的应用可以明显减少设计中的冲突和错误,提高施工效率,降低工程成本,并提升建筑质量。本文对BIM技术特性和优势进行分析,在机电工程中运用BIM技术,利用三维形式下的不同模块对综合管线进行设计,有效减少管线碰撞问题。 展开更多
关键词 BIM 机电工程 综合管线 排布研究
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Exploring the phytoconstituents targeting TNF-αas potential lead compounds to treat inflammatory diseases:an in-silico approach
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作者 Sumit Arora Pallavi Rushiya +4 位作者 Kalpana Tirpude Nidhi Sapkal Subhash Yende Abhay Ittadwar Sapan Shah 《Digital Chinese Medicine》 2022年第3期264-275,共12页
Objective To explore the anti-inflammatory phytoconstituents from various plant sources as tumour necrosis factor-α(TNF-α)-inhibitor,a mediator involved in the inflammatory disorder,by in silico molecular docking.Me... Objective To explore the anti-inflammatory phytoconstituents from various plant sources as tumour necrosis factor-α(TNF-α)-inhibitor,a mediator involved in the inflammatory disorder,by in silico molecular docking.Methods Based on previous findings,we performed the in silico assessment of anti-inflammatory phytoconstituents from different medicinal plants to understand their binding patterns against TNF-α(PDB ID:6OP0)using AutoDock Vina.Molecular docking was performed by setting a grid box(25×25×25)Åcentered at[-12.817×(-1.618)×19.009]A with 0.375A of grid spacing.Furthermore,Discovery Studio Client 2020 program was utilized to assess two-and three-dimensional(2D and 3D)hydrogen-bond interactions concerning an amino acid of target and ligand.Physicochemical properties were reported using the Lipinski’s rule and SwissADME database to support the in silico findings.Results From the selected medicinal plants,more than 200 phytocompounds were screened against TNF-α protein with binding scores in the range of -12.3 to -2.5 kcal/mol.Amongst them,emodin,aloe-emodin,pongamol,purpuritenin,semiglabrin,ellagic acid,imperatorin,α-tocopherol,and octanorcucurbitacin A showed good binding affinity as -10.6,-10.0,-10.5,-10.1,-11.2,-10.3,-10.1,-10.1,and -10.0 kcal/mol,respectively.Also,the absorption,distribution,metabolism,excretion,and toxicology(ADMET)profiles were well within acceptable limits.Conclusion Based on our preliminary findings,we conclude that the selected phytoconstituents have the potential to be good anti-inflammatory candidates by inhibiting the TNF-α target.These compounds can be further optimized and validated as new therapeutic components to develop more effective and safe anti-inflammatory drugs. 展开更多
关键词 Inflammation Tumour necrosis factor-α(TNF-α) Medicinal plants PHYTOCONSTITUENTS Molecular docking Absorption distribution metabolism excretion and toxicology(ADMET) studies
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