AIMC Topic: Molecular Weight
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S2Snet: deep learning for low molecular weight RNA identification with nanopore.
Briefings in bioinformatics
May 13, 2022
Ribonucleic acid (RNA) is a pivotal nucleic acid that plays a crucial role in regulating many biological activities. Recently, one study utilized a machine learning algorithm to automatically classify RNA structural events generated by a Mycobacteriu...
[Determination of sulfation degree of heparin and low molecular weight heparins by capillary electrophoresis].
Se pu = Chinese journal of chromatography
Oct 8, 2020
Heparin is composed of a highly sulfated linear saccharide and is widely used as an anticoagulant. Low molecular weight heparins (LMWHs) are derived from the unfractionated heparin (UFH) by enzymatic or chemical degradation. LMWHs have largely replac...
Antioxidant and antiproliferative activities of protein hydrolysate from the rhizomes of Zingiberaceae plants.
Pakistan journal of pharmaceutical sciences
Nov 1, 2016
Plant proteins have been investigated for their antioxidant activities, but there are still no reports detailing the antioxidant activity levels of plants in the Zingiberaceae family, which are popular food agents and used in folklore medicine. In th...
Rhizome
Plants, Medicinal
Zingiberaceae
Biphenyl Compounds
Humans
Protein Hydrolysates
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
Neoplasms
Plant Proteins
Antineoplastic Agents, Phytogenic
Dose-Response Relationship, Drug
Chromatography, Ion Exchange
Cell Proliferation
Molecular Weight
Plant Extracts
Ascorbic Acid
Antioxidants
Inhibitory Concentration 50
Phytotherapy
Hep G2 Cells
Picrates
[Thalamocortical Neural Mass Model Simulation and Study Based on Field Programmable Gate Array].
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Aug 1, 2016
Using the computer to imitate the neural oscillations of the brain is of great significance for the analysis of brain functions.Thalamocortical neural mass model(TNMM)reflects the mechanisms of neural activities by establishing the relationships betw...
Artificial neural network analysis for predicting human percutaneous absorption taking account of vehicle properties.
The Journal of toxicological sciences
Apr 1, 2015
An in silico method for predicting percutaneous absorption of cosmetic ingredients was developed by using artificial neural network (ANN) analysis to predict the human skin permeability coefficient (log Kp), taking account of the physicochemical prop...
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