scholarly journals Pyrimidine Derivatives as Promising Candidates for Potent Antiangiogenic: A silico Study

2021 ◽  
Vol 7 (6) ◽  
Keyword(s):  
Pyrimidine Derivatives

Synthesis of Some New Tetracyclic Pyrimidine Derivatives Using Exocyclic α,β-Unsaturated Ketone and Evaluation of Their Antitumor Activities

2016 ◽  
Vol 12 (8) ◽  
pp. 311-317
Author(s):  
Kamelia El-Mahdy
Keyword(s):  
Antitumor Activity ◽  
Spectroscopic Data ◽  
Acid Hydrazide ◽  
Chloroacetic Acid ◽  
Equimolar Amount ◽  
Unsaturated Ketone ◽  
Cyanoacetic Acid ◽  
Antitumor Activities ◽  
Pyrimidine Derivatives ◽  
Cyanoacetic Acid Hydrazide

Thiazolopyrimidine 2 was obtained from the reaction of dihydropyrimidinone with chloroacetic acid and benzaldehyde. Thiazolopyrimidine 2 containing an α,β-unsaturated ketonic function [-CH=CH-CO-] has been used as a component of Michael addition with an equimolar amount of dinucleophiles to give a series of novel tetracyclic pyrimidine derivatives. Treatment of thiazolopyrimidine 2 with uracil, aminotriazole, cyanoacetic acid hydrazide, o-phenylenediamine or diaminopyridine afforded the corresponding pyridopyrimidine, triazolopyrimidine, pyrazolone, benzodiazepine and triazepine derivative, respectively. The detailed synthesis, spectroscopic data, and antitumor activity for synthesized compounds were reported.

An Update on JAK Inhibitors

2019 ◽  
Vol 26 (10) ◽  
pp. 1806-1832 ◽  
Author(s):  
Francesca Musumeci ◽  
Chiara Greco ◽  
Ilaria Giacchello ◽  
Anna Lucia Fallacara ◽  
Munjed M. Ibrahim ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Tyrosine Kinases ◽  
Chemical Structure ◽  
Receptor Tyrosine Kinases ◽  
Myeloproliferative Neoplasms ◽  
Pharmaceutical Companies ◽  
Jak Inhibitors ◽  
Pyrimidine Derivatives ◽  
Janus Kinases ◽  
Structure Activity

Janus kinases (JAKs) are a family of non-receptor tyrosine kinases, composed by four members, JAK1, JAK2, JAK3 and TYK2. JAKs are involved in different inflammatory and autoimmune diseases, as well as in malignancies, through the activation of the JAK/STAT signalling pathway. Furthermore, the V617F mutation in JAK2 was identified in patients affected by myeloproliferative neoplasms. This knowledge prompted researchers from academia and pharmaceutical companies to investigate this field in order to discover small molecule JAK inhibitors. These efforts recently afforded to the market approval of four JAK inhibitors. Despite the fact that all these drugs are pyrrolo[2,3-d]pyrimidine derivatives, many compounds endowed with different heterocyclic scaffolds have been reported in the literature as selective or multi-JAK inhibitors, and a number of them is currently being evaluated in clinical trials. In this review we will report many representative compounds that have been published in articles or patents in the last five years (period 2013-2017). The inhibitors will be classified on the basis of their chemical structure, focusing, when possible, on their structure activity relationships, selectivity and biological activity. For every class of derivatives, compounds disclosed before 2013 that have entered clinical trials will also be briefly reported, to underline the importance of a particular chemical scaffold in the search for new inhibitors.

QSAR Studies of Halogenated Pyrimidine Derivatives as Inhibitors of Human Dihydroorotate Dehydrogenase Using Modified Bee Algorithm

2018 ◽  
Vol 21 (5) ◽  
pp. 381-387 ◽  
Author(s):  
Hossein Atabati ◽  
Kobra Zarei ◽  
Hamid Reza Zare-Mehrjardi
Keyword(s):  
External Validation ◽  
Correlation Coefficients ◽  
Quantitative Structure Activity Relationship ◽  
Molecular Structures ◽  
Dihydroorotate Dehydrogenase ◽  
Pyrimidine Derivatives ◽  
Qsar Studies ◽  
Bee Algorithm ◽  
Test Sets ◽  
Leave One Out

Aim and Objective: Human dihydroorotate dehydrogenase (DHODH) catalyzes the fourth stage of the biosynthesis of pyrimidines in cells. Hence it is important to identify suitable inhibitors of DHODH to prevent virus replication. In this study, a quantitative structure-activity relationship was performed to predict the activity of one group of newly synthesized halogenated pyrimidine derivatives as inhibitors of DHODH. Materials and Methods: Molecular structures of halogenated pyrimidine derivatives were drawn in the HyperChem and then molecular descriptors were calculated by DRAGON software. Finally, the most effective descriptors for 32 halogenated pyrimidine derivatives were selected using bee algorithm. Results: The selected descriptors using bee algorithm were applied for modeling. The mean relative error and correlation coefficient were obtained as 2.86% and 0.9627, respectively, while these amounts for the leave one out−cross validation method were calculated as 4.18% and 0.9297, respectively. The external validation was also conducted using two training and test sets. The correlation coefficients for the training and test sets were obtained as 0.9596 and 0.9185, respectively. Conclusion: The results of modeling of present work showed that bee algorithm has good performance for variable selection in QSAR studies and its results were better than the constructed model with the selected descriptors using the genetic algorithm method.

Thienyl Pyrimidine Derivatives with PrPSc Oligomer-Inducing Activity are a Promising Tool to Study Prions

2013 ◽  
Vol 13 (19) ◽  
pp. 2477-2483 ◽  
Author(s):  
Thibaut Imberdis ◽  
Adeline Ayrolles-Torro ◽  
Jean-Michel Verdier ◽  
Véronique Perrier
Keyword(s):  
Pyrimidine Derivatives ◽  
Promising Tool

“Microwave Assisted Synthesis of Novel Pyrimidine Derivatives as anti-Malarial Agents”

2015 ◽  
Vol 12 (999) ◽  
pp. 1-1
Author(s):  
Dayena J. Christian ◽  
Manoj N. Bhoi ◽  
Mayuri A. Borad ◽  
Dhanji P.Rajani ◽  
Smita D.Rajani ◽  
...  
Keyword(s):  
Microwave Assisted Synthesis ◽  
Pyrimidine Derivatives ◽  
Microwave Assisted

Synthesis and Antitumor Properties of N1-(Hydroxymethyl Phenylmethyl) Pyrimidine Derivatives and their Intermediates

2007 ◽  
Vol 4 (4) ◽  
pp. 249-256
Author(s):  
Liying Chen ◽  
Nageswara Kode ◽  
Devangachinta Murthy ◽  
Shashikant Phadtare
Keyword(s):  
Pyrimidine Derivatives ◽  
Antitumor Properties

3D-QSAR and Docking Studies on Pyrimidine Derivatives as CSF-1R Inhibitors

2020 ◽  
Vol 17 (3) ◽  
pp. 341-355
Author(s):  
Ya-ting Deng ◽  
Jun-wei Wang ◽  
Han Chu ◽  
Juan Wang ◽  
Yong Hu ◽  
...  
Keyword(s):  
Poor Prognosis ◽  
3D Qsar ◽  
Docking Studies ◽  
Colony Stimulating Factor ◽  
Training Set ◽  
Pyrimidine Derivatives ◽  
Comfa Model ◽  
Inhibitory Activities ◽  
The Relationship ◽  
Stimulating Factor

Background: Colony Stimulating Factor-1 Receptor (CSF-1R) is associated with malignancy, invasiveness and poor prognosis of tumors, and pyrimidine derivatives are considered as a novel class of CSF-1R inhibitor. Methods: To explore the relationship between the structures of substituted pyrimidine derivatives and their inhibitory activities against CSF-1R, CoMFA and CoMSIA analyses, and molecular docking studies were performed on a dataset of forty-four compounds. Results: We found in CoMFA model including steric and electrostatic fields for the training set, the cross-validated q2 value was 0.617 and the non-cross-validated r2 value was 0.983. While, the crossvalidated q2 value was 0.637 and the non-cross-validated r2 value was 0.984 in CoMSIA Model which include steric, electrostatic and hydrophobic fields. 3D equipotential maps generated from CoMFA and CoMSIA along with the docking binding structures provided enough information about the structural requirements for better activity. Conclusion: The data generated from the present study helped us to predict the activity of new inhibitors and further design some novel and potent CSF-1R inhibitors.

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