In Silico Appraisal, Synthesis, Antibacterial Screening and DNA Cleavage for 1,2,5-thiadiazole Derivative.

abstract：BACKGROUND:Virtual screening of candidate drug molecules using machine learning techniques plays a key role in pharmaceutical industry to design and discovery of new drugs. Computational classification methods can determine drug types according to the disease groups and distinguish approved drugs from withdrawn ones. ...

journal_title：Current computer-aided drug design

authors： Onay A,Onay M

更新日期：2020-01-01 00:00:00

abstract：BACKGROUND:Quantitative structure-activity relationship (QSAR) models can be used as a predictive tool for virtual screening of chemical libraries to identify novel drug candidates. The aims of this paper were to report the results of a study performed for descriptor selection, QSAR model development, and virtual scree...

journal_title：Current computer-aided drug design

authors： Ko GM,Garg R,Bailey BA,Kumar S

更新日期：2016-01-01 00:00:00

abstract：BACKGROUND:The Non-Small Cell Lung Cancer (NSCLC) alone is responsible for the sovereignty of demises worldwide related to the other cancers.ROS1 is a receptor tyrosine kinase (RTK), eminently recognized as the stereotyped oncogenic driver. These RTKs trigger an array of physiological regulations via cellular signal tr...

journal_title：Current computer-aided drug design

authors： Adhikary R,Khandelwal R,Hussain T,Nayarisseri A,Singh SK

更新日期：2020-05-03 00:00:00

abstract：INTRODUCTION:Mycobacterium tuberculosis has instigated a serious challenge toward the effective treatment of tuberculosis. The reoccurrence of the resistant strains of the disease to accessible drugs/medications has mandate for the development of more effective anti-tubercular agents with efficient activities. Time exp...

journal_title：Current computer-aided drug design

authors： Adeniji SE

更新日期：2020-06-25 00:00:00

abstract：BACKGROUND:Quantitative structure-activity relationship (QSAR) models could provide both statistical significance and useful chemical insights for drug design. The QSAR method has found applications for predicting diverse properties of organic compounds, including antiviral activities, toxicities and biological activit...

journal_title：Current computer-aided drug design

authors： Pargolghasemi P,Hoseininezhad-Namin MS,Jadid AP

更新日期：2017-01-01 00:00:00

abstract：INTRODUCTION:Morbidity and mortality due to tuberculosis are rising steadily. Despite having efficient drugs and treatment protocols, microbial drug resistance often leads to treatment failure. Efforts to bring novel drugs to combat this menace are hampered by several issues including problems in gaining industry suppo...

journal_title：Current computer-aided drug design

authors： Kumar Muthyala MK,Jamullamudi RN,Sangeeta GPV,Kurre PN

更新日期：2018-01-01 00:00:00

abstract：:Recent studies have demonstrated several biological activities of curcumin with therapeutic potential against Alzheimer's disease, among them the inhibition of the enzyme acetylcholinesterase (AChE). Aiming at identifying the chemical features relevant for this activity, the inhibition of curcumin and a set of 7 deriv...

journal_title：Current computer-aided drug design

authors： Tello-Franco V,Lozada-García MC,Soriano-García M

更新日期：2013-06-01 00:00:00

abstract：BACKGROUND:Various applications of nanosubstances in industrial and consumer goods sectors are growing rapidly because of their useful chemical and physical properties. OBJECTIVES:Assessment of hazard posed by exposure to nanosubstances is essential for the protection of human and ecological health. METHODS:We analyz...

journal_title：Current computer-aided drug design

authors： Basak SC,Vracko M,Witzmann FA

更新日期：2016-01-01 00:00:00

abstract：:The first step in the process of drug development is to determine those lead compounds that demonstrate significant biological activity with regard to a target protein. Because this process is often costly and time consuming, there is a need to develop efficient methodologies for the generation of lead compounds for p...

journal_title：Current computer-aided drug design

authors： Funatsu K,Miyao T,Arakawa M

更新日期：2011-03-01 00:00:00

abstract：:As crucial members of the G-protein coupled receptor (GPCR) superfamily, alpha (1)-adrenergic receptors (alpha(1)-ARs) are recognized to intervene the actions of endogenous catecholamines such as norepinephrine and epinephrine. So far three distinct alpha(1)-AR subtypes, alpha(1A), alpha(1B) and alpha(1D), have been c...

journal_title：Current computer-aided drug design

authors： Du L,Li M

更新日期：2010-09-01 00:00:00

abstract：:The role of molecular topology (MT) in the design and selection of new drugs is discussed. After an overview of the different in silico molecular design current technologies, the QSAR analysis is dealt in detail with particular emphasis in the use of topological indices as molecular descriptors. The results of the app...

journal_title：Current computer-aided drug design

authors： Gálvez J,García-Doménech R

更新日期：2010-12-01 00:00:00

abstract：BACKGROUND:Mixed ligand-metal complexes are efficient chelating agents because of flexible donor ability. Mixed ligand complexes containing hetero atoms sulphur, nitrogen and oxygen have been probed for their biological significance. OBJECTIVE:Nine mixed ligand-metal complexes of 2-(butan-2-ylidene) hydrazinecarbothio...

journal_title：Current computer-aided drug design

authors： Khan T,Ahmad R,Azad I,Raza S,Joshi S,Khan AR

更新日期：2019-09-26 00:00:00

abstract：INTRODUCTION:Acetyl-CoA Carboxylases (ACC) have been an important target for the therapy of metabolic syndrome, such as obesity, hepatic steatosis, insulin resistance, dyslipidemia, non-alcoholic fatty liver disease (NAFLD), non-alcoholic steatohepatitis (NASH), type 2 diabetes (T2DM), and some other diseases. METHODS...

journal_title：Current computer-aided drug design

authors： Zhou WN,Zhang YM,Qiao X,Pan J,Yin LF,Zhu L,Zhao JN,Lu S,Lu T,Chen YD,Liu HC

更新日期：2019-01-01 00:00:00

abstract：AIM:To generate and validate predictive models for blood brain permeation (BBB) of CNS molecules using QSPR approach. BACKGROUND:Prediction of molecules crossing BBB remain a challenge in drug delivery. Predictive models are designed for evaluation of set of preclinical drugs which may serve as alternatives for determ...

journal_title：Current computer-aided drug design

authors： Dhavale RP,Choudhari PB,Bhatia MS

更新日期：2020-01-30 00:00:00

abstract：:Leflunomide (LFM) and its active metabolite, teriflunomide (TFM), have drawn a lot of attention for their anticancer activities, treatment of rheumatoid arthritis and malaria due to their capability to inhibit dihydroorotate dehydrogenase (DHODH) and Plasmodium falciparum dihydroorotate dehydrogenase (PfDHODH) enzyme....

journal_title：Current computer-aided drug design

authors： Heidarian R,Zahedi-Tabrizi M

更新日期：2020-05-27 00:00:00

abstract：BACKGROUND:Unconventional Knoevenagel-type indoles have been the topic of interest of many synthetic chemists because of its promising efficacy in different diseases including cancer. OBJECTIVE:To explore the structural requirements of Knoevenagel-type cytotoxic indoles for higher efficacy. METHODS:Multi-QSAR modelin...

journal_title：Current computer-aided drug design

authors： Amin SA,Adhikari N,Jha T,Gayen S

更新日期：2017-11-10 00:00:00

abstract：INTRODUCTION:Machine Learning is a useful tool for the prediction of cell-penetration compounds as drug candidates. MATERIALS AND METHODS:In this study, we developed a novel method for predicting Cell-Penetrating Peptides (CPPs) membrane penetrating capability. For this, we used orthogonal encoding to encode amino aci...

journal_title：Current computer-aided drug design

authors： Tang J,Ning J,Liu X,Wu B,Hu R

更新日期：2019-01-01 00:00:00

abstract：BACKGROUND:The prevalence of multi-drug resistance S. aureus is one of the most challenging tasks for the treatment of nosocomial infections. Proteins and enzymes of peptidoglycan biosynthesis pathway are one among the well-studied targets, but many of the enzymes are unexplored as targets. MurE is one such enzyme feat...

journal_title：Current computer-aided drug design

authors： Zaveri K,Kiranmayi P

更新日期：2017-01-01 00:00:00

abstract：INTRODUCTION:Lung carcinoma is the most commonly cancer causing deaths throughout the world that mainly occurs due to smoking. Small cell lung cancer and Non-small cell lung cancer (NSCLC) are the two different types of Lung cancer. For the detection and classification of lung cancer, there are different techniques in ...

journal_title：Current computer-aided drug design

authors： Jain S

更新日期：2020-01-01 00:00:00

abstract：BACKGROUND:Gefitinib (lressa) is the most prescribed drug, highly effective to treat nonsmall cell lung cancer; primarily it was considered that targeted therapy is a kinase inhibitor. The nonsmall cell lung cancer is caused by mutation in the Epithelial Growth Factor Receptor (EGFR) gene. Iressa works by blocking the ...

journal_title：Current computer-aided drug design

authors： Reddy PS,Lokhande KB,Nagar S,Reddy VD,Murthy PS,Swamy KV

更新日期：2018-01-01 00:00:00

abstract：:The design of inhibitors specific for one relevant carbonic anhydrase isozyme is the major challenge in the new therapeutic agents development. Comparative computational chemical structure and biological activity relationship studies on a series of carbonic anhydrase II inhibitors, benzenesulfonamide derivatives, bear...

journal_title：Current computer-aided drug design

authors： Raškevičius V,Kairys V

更新日期：2015-01-01 00:00:00

abstract：BACKGROUND:Inhibition of penicillin binding protein 2A (PBP2A) represents a sound drug design strategy in combatting Methicillin resistant Staphylococcus aureus (MRSA). Considering the urgent need for effective antimicrobials in combatting MRSA infections, we have developed a statistically robust ensemble of molecular ...

journal_title：Current computer-aided drug design

authors： Ogunleye AJ,Eniafe GO,Inyang OK,Adewumi B,Omotuyi OI

更新日期：2018-01-01 00:00:00

abstract：BACKGROUND:Chemotherapy and radiotherapy have negative effects on normal tissues and they are very expensive and lengthy treatments. These disadvantages have recently attracted researchers to the new methods that specifically affect cancerous tissues and have lower damage to normal tissues. One of these methods is the ...

journal_title：Current computer-aided drug design

authors： Siahmazgi MG,Khalili MAN,Ahmadpour F,Khodadadi S,Zeinoddini M

更新日期：2020-01-01 00:00:00

abstract：BACKGROUND:Euterpe oleracea Martius, popularly known as açaí, is a fruit rich in α-tocopherols, fibers, lipids, mineral ions and polyphenols. It is believed that the high content of polyphenols, specially flavonoids, provides several health-promoting effects to the açaí fruit, including anti-inflammatory, immunomodulat...

journal_title：Current computer-aided drug design

authors： de Oliveira NKS,Almeida MRS,Pontes FMM,Barcelos MP,Silva GM,de Paula da Silva CHT,Cruz RAS,da Silva Hage-Melim LI

更新日期：2020-06-19 00:00:00

abstract：:The paper is an attempt for QSAR modeling based on topological, electrostatic, quantum chemical, constitutional, geometrical and physicochemical indices computed from the structures of 59 set of synthesized chalcone derivatives tested for the cell cycle inhibition of mitotic G2/M phase using multiple linear regression...

journal_title：Current computer-aided drug design

authors： Nandi S,Bagchi MC

更新日期：2015-01-01 00:00:00

abstract：BACKGROUND:Secreted Frizzled-Related Protein 4 (SFRP4) is a glycoprotein that acts as a competitor of both canonical and non-canonical Wnt pathways. SFRP4 is mostly expressed in ovary and plays a significant role as a target molecule to cure ovarian carcinoma. OBJECTIVE:Multiple chemical agonists are being used to cur...

journal_title：Current computer-aided drug design

authors： Hassan M,Azhar M,Abbas Q,Raza H,Moustafa AA,Shahzadi S,Ashraf Z,Seo SY

更新日期：2018-01-01 00:00:00

abstract：:Hepatocellular Carcinoma is the most common primary malignant tumor of the liver. Development of multidrug resistance is the main obstacle to the success of anticancer drugs. In this study, designing and docking study of thiosemicarbazide hybrids with amino acids or peptides against hepatocellular carcinoma was perfor...

journal_title：Current computer-aided drug design

authors： Chacko S,Samanta S

更新日期：2015-01-01 00:00:00

abstract：:Interrelated Two-way Clustering (ITC) is an unsupervised clustering method developed to divide samples into two groups in gene expression data obtained through microarrays, selecting important genes simultaneously in the process. This has been found to be a better approach than conventional clustering methods like K-m...

journal_title：Current computer-aided drug design

authors： Majumdar S,Basak SC,Grunwald GD

更新日期：2013-12-01 00:00:00

abstract：BACKGROUND:Human African trypanosomiasis is a fatal disease prevalent in approximately 36 sub-Saharan countries. Emerging reports of drug resistance in Trypanosoma brucei are a serious cause of concern as only limited drugs are available for the treatment of the disease. Pteridine reductase is an enzyme of Trypanosoma ...

journal_title：Current computer-aided drug design

authors： Shamshad H,Hafiz A,Althagafi II,Saeed M,Mirza AZ

更新日期：2020-01-01 00:00:00

abstract：:The most common mechanism of the so-called multidrug resistance (MDR), is mainly associated with an over expression of P-glycoprotein (Pgp). It is an ATP-dependent transport protein that limits the intracellular accumulation of a variety of structurally unrelated compounds within various organs and normal tissues such...

journal_title：Current computer-aided drug design

authors： Vázquez RN,Camargo AB,Marchevsky EJ,Luco JM

更新日期：2014-01-01 00:00:00