Molecular structure activity on pharmaceutical applications of Phenacetin using spectroscopic investigation

2017 ◽  
Vol 1127 ◽  
pp. 611-625 ◽  
Author(s):  
A. Madanagopal ◽  
S. Periandy ◽  
P. Gayathri ◽  
S. Ramalingam ◽  
S. Xavier
Keyword(s):  
Molecular Structure ◽  
Spectroscopic Investigation ◽  
Pharmaceutical Applications ◽  
Structure Activity

scholarly journals Model compounds-based study on adsorption and dispersion properties of lignin-based superplasticizer

2021 ◽  
Vol 104 (1) ◽  
pp. 003685042098062
Author(s):  
Shuangping Ma ◽  
Qingjun Ding ◽  
Fen Zhou ◽  
Huaxiong Zhu
Keyword(s):  
Molecular Structure ◽  
Zeta Potential ◽  
Model Compound ◽  
Research Work ◽  
Structure Activity Relationship ◽  
Activity Relationship ◽  
Lignin Model Compound ◽  
Structure Activity ◽  
Lignin Model ◽  
Relationship Of

The chemical modifications of lignin-based superplasticizers have attracted extensive attentions during recent years. The comprehending of the structure-activity relationship of lignin-based superplasticizer is important to promote the modification and application research of lignin resources. However, lignin features complex and variable molecular structure, which is not conducive to study on structure-activity relationship of lignin-based superplasticizer as well as development and application of new lignin-based superplasticizer. However, the related research work can be simplified by selecting small molecular compound with appropriate molecular structure as the lignin model compound. This article intends to study the structure-activity relationship of lignin-based superplasticizer by using dihydroeugenol as the lignin model compound. Through the substitution of lignin by dihydroeugenol during the synthesis process, a model compound lignin-based superplasticizer (DAFS) was synthesized. The adsorption and dispersion properties of this superplasticizer and reference sample (LAFS) were investigated by fluidity test, Zeta-potential measurement, Total organic carbon analysis and others. The results suggest that the adsorption behavior of both DAFS and LAFS conformed to the Langmuir isotherms and Pseudo-second order kinetic. In cement paste, added with 1 g/L of LAFS and DAFS, Zeta potential were reduced from +3.5 to −15.2 mV and −18.7 mV, respectively. The substitution of lignin by dihydroeugenol has no significantly influence on the dispersive property, but differences on rheological properties which need to be optimized in the future. All the tests confirmed that dihydroeugenol is suitable to replace lignin on exploring the structure-activity relationship of lignin-based superplasticizer. This research work provides new insight on model study of lignin-based superplasticizer.

scholarly journals Modeling the Antileukemia Activity of Ellipticine-Related Compounds: QSAR and Molecular Docking Study

Molecules ◽  
2019 ◽  
Vol 25 (1) ◽  
pp. 24 ◽  
Author(s):  
Edgar Márquez ◽  
José R. Mora ◽  
Virginia Flores-Morales ◽  
Daniel Insuasty ◽  
Luis Calle
Keyword(s):  
Molecular Structure ◽  
Binding Free Energy ◽  
Docking Study ◽  
Quantitative Structure Activity Relationship ◽  
Quantitative Structure ◽  
Molecular Docking Study ◽  
Modeling Simulation ◽  
Structure Activity ◽  
Related Compounds ◽  
Cancer Activity

The antileukemia cancer activity of organic compounds analogous to ellipticine representes a critical endpoint in the understanding of this dramatic disease. A molecular modeling simulation on a dataset of 23 compounds, all of which comply with Lipinski’s rules and have a structure analogous to ellipticine, was performed using the quantitative structure activity relationship (QSAR) technique, followed by a detailed docking study on three different proteins significantly involved in this disease (PDB IDs: SYK, PI3K and BTK). As a result, a model with only four descriptors (HOMO, softness, AC1RABAMBID, and TS1KFABMID) was found to be robust enough for prediction of the antileukemia activity of the compounds studied in this work, with an R2 of 0.899 and Q2 of 0.730. A favorable interaction between the compounds and their target proteins was found in all cases; in particular, compounds 9 and 22 showed high activity and binding free energy values of around −10 kcal/mol. Theses compounds were evaluated in detail based on their molecular structure, and some modifications are suggested herein to enhance their biological activity. In particular, compounds 22_1, 22_2, 9_1, and 9_2 are indicated as possible new, potent ellipticine derivatives to be synthesized and biologically tested.

scholarly journals Neuraldecipher - Reverse-Engineering ECFP Fingerprints to Their Molecular Structures

2020 ◽  
Author(s):  
Tuan Le ◽  
Robin Winter ◽  
Frank Noé ◽  
Djork-Arné Clevert
Keyword(s):  
Molecular Structure ◽  
Reverse Engineering ◽  
Quantitative Structure Activity Relationship ◽  
Molecular Structures ◽  
Pharmaceutical Companies ◽  
Molecular Fingerprints ◽  
Structure Activity ◽  
Great Relevance ◽  
Validation Set ◽  
Private Associations

<p>Protecting molecular structures from disclosure against external parties is of great relevance for industrial and private associations, such as pharmaceutical companies. Within the framework of external collaborations, it is common to exchange datasets by encoding the molecular structures into descriptors. Molecular fingerprints such as the extended-connectivity fingerprints are frequently used for such an exchange, because they typically perform well on quantitative structure-activity relationship tasks. </p><p>ECFPs are often considered to be non-invertible due to the way they are computed.</p><p>In this paper, we present a reverse-engineering method to deduce the molecular structure given revealed ECFPs. Our method includes the <i>Neuraldecipher</i>, a neural network model that predicts a compact vector representation of compounds, given ECFPs. We then utilize another pre-trained model to retrieve the molecular structure as SMILES representation. We demonstrate that our method is able to reconstruct molecular structures to some extent, and improves, when ECFPs with larger fingerprint sizes are revealed. For example, given ECFP count vectors of length 4096, we are able to correctly deduce around 60% of molecular structures on a validation set (112K unique samples) with our method.</p>

Biological Activity, Physical Properties, and Toxicity

2021 ◽  
Vol 6 (3) ◽  
pp. 25-34
Author(s):  
Ranita Pal ◽  
Pratim Kumar Chattaraj
Keyword(s):  
Molecular Structure ◽  
Biological Activity ◽  
Molecular Biology ◽  
Drug Design ◽  
Physical Properties ◽  
Quantitative Structure Activity Relationship ◽  
Molecular Properties ◽  
Quantitative Structure ◽  
Qsar Analysis ◽  
Structure Activity

In the current pandemic-stricken world, quantitative structure-activity relationship (QSAR) analysis has become a necessity in the domain of molecular biology and drug design, realizing that it helps estimate properties and activities of a compound, without actually having to spend time and resources to synthesize it in the laboratory. Correlating the molecular structure of a compound with its activity depends on the choice of the descriptors, which becomes a difficult and confusing task when we have so many to choose from. In this mini-review, the authors delineate the importance of very simple and easy to compute descriptors in estimating various molecular properties/toxicity.

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