An Ultrafiltration Device for Free/Bound Drug Analysis

1982 ◽  
pp. 159-172
Author(s):  
Charles W. Desaulniers ◽  
Shmuel Sternberg ◽  
C. E. Pippenger ◽  
C. M. Garlock
Keyword(s):  
Drug Analysis ◽  
Bound Drug

Computational drug analysis of APOBEC3B enzyme: Promising cancer drug target

2020 ◽  
Author(s):  
Zachary Daniel Smith ◽  
Bill R Miller III
Keyword(s):  
Drug Target ◽  
Drug Analysis ◽  
Cancer Drug

Crude Drug Analysis, Antimicrobial and Larvicidal Screening of the Methanolic Leaf Extract of Cestrum nocturnum L. (Fam. Solanaceae)

Planta Medica ◽  
2013 ◽  
Vol 79 (05) ◽  
Author(s):  
PE Balbas ◽  
JE Briones ◽  
JA Camposano ◽  
DI Carrido ◽  
KM Convento ◽  
...  
Keyword(s):  
Leaf Extract ◽  
Drug Analysis ◽  
Crude Drug

A Survey of Network Embedding for Drug Analysis and Prediction

2020 ◽  
Vol 21 ◽  
Author(s):  
Zhixian Liu ◽  
Qingfeng Chen ◽  
Wei Lan ◽  
Jiahai Liang ◽  
Yiping Pheobe Chen ◽  
...  
Keyword(s):  
Deep Learning ◽  
Protein Function ◽  
Dimensional Space ◽  
Auxiliary Information ◽  
Matrix Decomposition ◽  
Drug Analysis ◽  
Machine Learning Algorithms ◽  
Superior Performance ◽  
Network Embedding ◽  
Similarity Estimation

: Traditional network-based computational methods have shown good results in drug analysis and prediction. However, these methods are time consuming and lack universality, and it is difficult to exploit the auxiliary information of nodes and edges. Network embedding provides a promising way for alleviating the above problems by transforming network into a low-dimensional space while preserving network structure and auxiliary information. This thus facilitates the application of machine learning algorithms for subsequent processing. Network embedding has been introduced into drug analysis and prediction in the last few years, and has shown superior performance over traditional methods. However, there is no systematic review of this issue. This article offers a comprehensive survey of the primary network embedding methods and their applications in drug analysis and prediction. The network embedding technologies applied in homogeneous network and heterogeneous network are investigated and compared, including matrix decomposition, random walk, and deep learning. Especially, the Graph neural network (GNN) methods in deep learning are highlighted. Further, the applications of network embedding in drug similarity estimation, drug-target interaction prediction, adverse drug reactions prediction, protein function and therapeutic peptides prediction are discussed. Several future potential research directions are also discussed.

Recent applications of nanomaterials based on electrochemical drug analysis

2020 ◽  
Vol 16 ◽  
Author(s):  
Huseyin Senturk ◽  
Hakan Karadeniz ◽  
Arzum Erdem
Keyword(s):  
Chemical Properties ◽  
Drug Analysis ◽  
Physical And Chemical Properties ◽  
Physical And Chemical ◽  
General Perspective ◽  
And Chemical Properties

: Regarding to the development of nanomaterials, they could be widely used in electrochemical drug analysis due to their unique physical and chemical properties. Herein, we presented a general perspective to different nanomaterials based electrochemical approaches developed for drug analysis, that were performed in the last decade while summarizing their advantages with further applications.

Pharmaceutico- Analytical Study of Abhra Sindoora

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Dr. Jyothi B. ◽  
Dr. M. V. Sobagin ◽  
Dr. M.C. Patil
Keyword(s):  
Analytical Study ◽  
Current Trend ◽  
Drug Analysis ◽  
Sem Analysis ◽  
Secondary Amines ◽  
Particle Analysis ◽  
Hexagonal Crystal ◽  
Xrd Study ◽  
Edxrf Analysis ◽  
Working Standards

Background: Abhra Sindoora[1] (ABS) is a unique Rasa Yoga with having more potent and indication in Tridoshahara, Swasa, Kasa etc. It is one of the important classical Kupipakva Rasayana containing Hingulotha Parada (purified mercury), Shuddha Gandhaka (purified sulfur) and Dhanyabhraka in 1:1:1 proportion. Aim: Pharmaceutico-Analytical study of Abhra Sindoora. Materials and Methods: Hingulotha Parada (purified mercury), Shuddha Gandhaka (purified sulfur) and Dhanyabhraka are used to prepare Kajjali and lavigated with Vatankura (leaf buds of Ficus bengalensis), Swarasa (juice) and Arka (Calotrapis procera) ksheera (milk). This Kajjali is processed by Kupipakva method. Results and Conclusion: The current trend in applied instrumental medical research encourages good medical practice, clinical and research based drug analysis. The main aim of analytical study is to find out working standards for the formulations and safe use of therapeutics. Abhra Sindoora was prepared in 48 hours with 28% yield. It was also characterized by using modern instrumental analysis like XRD, SEMEDX, EDXRF, FTIR and PARTICLE ANALYSIS. The SEM analysis evaluated that prepared Abhra Sindoora has particles in nanometers, least being 14.87nm. SEMEDX study confirmed the presence of C, O, Si, S, K, and HgM. XRD study confirmed the presence of Hg3.00S3.00 in hexagonal crystal system. The EDXRF analysis evaluated the presence of K, Ca, Ti, Mn, Fe, S, Br and Hg. FTIR analysis shows organic compounds with functional groups like secondary amines, Nitro, Carboxylic acids, Bromine, Esters, Alkines, and Iodides etc.

scholarly journals Ion chromatography coupled with fluorescence/UV detector: A comprehensive review of its applications in pesticides and pharmaceutical drug analysis

2020 ◽  
pp. 102972
Author(s):  
Nadeem Muhammad ◽  
Muhammad Zia-ul-Haq ◽  
Amjad Ali ◽  
Dongxue Han ◽  
Azeem Intisar ◽  
...  
Keyword(s):  
Ion Chromatography ◽  
Drug Analysis ◽  
Uv Detector ◽  
Comprehensive Review ◽  
Pharmaceutical Drug

Capillary electrophoresis for drug analysis

1999 ◽  
Author(s):  
Ira S. Lurie
Keyword(s):  
Capillary Electrophoresis ◽  
Drug Analysis

Diffusion-ordered spectroscopy on a benchtop spectrometer for drug analysis

2018 ◽  
Vol 160 ◽  
pp. 268-275 ◽  
Author(s):  
Gaëtan Assemat ◽  
Boris Gouilleux ◽  
Dylan Bouillaud ◽  
Jonathan Farjon ◽  
Véronique Gilard ◽  
...  
Keyword(s):  
Drug Analysis
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