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 performed since hybrids of biologically active compounds with amino acids or peptides may show target specificity and lower toxicity. All the structures were drawn in 2D platform and converted to the 3D platform using ChemDraw 10.0. Evaluations of ADME properties were done by using QikProp 3.0 to check for the possibility of oral delivery. In silico prediction of LD50 values were performed using Pro-Tox webserver. Interestingly, it was found that conjugation with amino acids decreases toxicity and increases the therapeutic index of thiosemicarbazide. Finally, all the compounds were docked to the crystal structure of the Vascular Endothelial Growth Factor Receptor-2 and Checkpoint kinase-1 utilizing Glide 5.0, Schrödinger 8.5, to understand the interaction of ligands with the receptor. A significant number of derivatives have been found active in both the receptors and also displayed multikinase inhibitory activity similar to Sorafenib, against hepatocellular carcinoma. Further, wet lab synthesis, in vitro ADMET and biological screening studies need to be performed to prove that designed compounds are effective against hepatocellular carcinoma as predicted by molecular modeling. However, as predicted by molecular modeling, the efficacy of designed compounds against hepatocellular carcinoma, needs to be confirmed by wet lab synthesis, in vitro ADMET and biological screening studies.
journal_name
Curr Comput Aided Drug Desjournal_title
Current computer-aided drug designauthors
Chacko S,Samanta Sdoi
10.2174/1573409911666151103114300subject
Has Abstractpub_date
2015-01-01 00:00:00pages
279-90issue
3eissn
1573-4099issn
1875-6697pii
CCADD-EPUB-71549journal_volume
11pub_type
杂志文章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
pub_type: 杂志文章
doi:10.2174/1573409913666170303113812
更新日期:2017-01-01 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
pub_type: 杂志文章
doi:10.2174/1573409911666150916092624
更新日期:2015-01-01 00:00:00
abstract::The QSAR and docking studies were performed on fifty seven steroids with binding affinities for corticosteroid-binding globulin (CBG) and eighty four steroids with binding affinities for sex hormone-binding globulin (SHBG). Since the steroidal compounds have binding affinity for both CBG and SHBG, multi-target QSAR ap...
journal_title:Current computer-aided drug design
pub_type: 杂志文章
doi:10.2174/157340912803519642
更新日期:2012-12-01 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
pub_type: 杂志文章
doi:10.2174/1573409914666180112100122
更新日期:2018-01-01 00:00:00
abstract::Chemical and molecular graphs have fundamental applications in chemoinformatics, quantitative structureproperty relationships (QSPR), quantitative structure-activity relationships (QSAR), virtual screening of chemical libraries, and computational drug design. Chemoinformatics applications of graphs include chemical st...
journal_title:Current computer-aided drug design
pub_type: 杂志文章,评审
doi:10.2174/1573409911309020002
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
pub_type: 杂志文章
doi:10.2174/1573409912666160824145722
更新日期:2016-01-01 00:00:00
abstract::Diabetes accounts for high mortality rate worldwide affecting million of lives annually. Global prevalence of diabetes and its rising frequency makes it a key area of research in drug discovery programs. The research article describes the development of quantitative structure activity relationship model against PPARγ,...
journal_title:Current computer-aided drug design
pub_type: 杂志文章
doi:10.2174/1573409911666150610093611
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
pub_type: 杂志文章
doi:10.2174/1573409914666180516114314
更新日期:2018-01-01 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
pub_type: 杂志文章
doi:10.2174/1573409914666180925100355
更新日期:2019-01-01 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
pub_type: 杂志文章
doi:10.2174/1573409915666190926122103
更新日期:2019-09-26 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
pub_type: 杂志文章
doi:10.2174/1573409914666180228111433
更新日期:2018-01-01 00:00:00
abstract:BACKGROUND:Development of resistance by the malaria parasite Plasmodium falciparum has created challenges in the eradication of this deadly infectious disease. Hence newer strategies are adopted to combat this disease and simultaneously new lead/hit identification is going on worldwide to develop new chemotherapeutic a...
journal_title:Current computer-aided drug design
pub_type: 杂志文章
doi:10.2174/1573409916666191226103000
更新日期:2019-12-25 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
pub_type: 杂志文章
doi:10.2174/1573409914666181012151242
更新日期:2020-01-01 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
pub_type: 杂志文章
doi:10.2174/1573409915666190827163327
更新日期:2020-01-01 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
pub_type: 杂志文章,评审
doi:10.2174/1573409911006040252
更新日期:2010-12-01 00:00:00
abstract:BACKGROUND:The accuracy of molecular conformation for Quantitative Structure Activity Relationship (QSAR) studies is an important criteria, and the most favourable bioactive conformer selection is a tough task. Correct ligand alignment as input for 3D-QSAR is an important step that is prone to human biases. Multiple-di...
journal_title:Current computer-aided drug design
pub_type: 杂志文章
doi:10.2174/1573409913666170119115841
更新日期:2017-01-01 00:00:00
abstract:AIM AND OBJECTIVE:Isoflavone phytoestrogens, which commonly present in natural plants, are closely related to human health. The combination of them with estrogen receptors in the body can play a more important role in the prevention and treatment of cardiovascular diseases, cancer, and menopausal diseases. This researc...
journal_title:Current computer-aided drug design
pub_type: 杂志文章
doi:10.2174/1573409916666200712140245
更新日期:2020-07-12 00:00:00
abstract:BACKGROUND:Kinase domain of VEGFR-2 displays conformational flexibility which leads to existence of two kinds of inhibitors viz. type I and type II inhibitors. They exhibit different binding modes and this necessitates the development of separate pharmacophore models for them. METHODS:The virtual screening study for d...
journal_title:Current computer-aided drug design
pub_type: 杂志文章
doi:10.2174/1386207319666161214112536
更新日期:2017-01-01 00:00:00
abstract:BACKGROUND:Trypanosoma brucei (T. brucei) is the cause of the deadly human African trypanosomiasis (HAT) with a case fatality ratio of 10%. OBJECTIVE:Targeting the essential Trypanosomal glucose metabolism pathway through the inhibition of phosphoglycerate kinase (PGK) and glyceraldehyde-3-phosphate dehydrogenase (GAP...
journal_title:Current computer-aided drug design
pub_type: 杂志文章
doi:10.2174/1573409916666200722140704
更新日期:2020-07-22 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
pub_type: 杂志文章
doi:10.2174/157340991003150302231140
更新日期:2014-01-01 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
pub_type: 杂志文章
doi:10.2174/1573409914666180423093049
更新日期:2018-01-01 00:00:00
abstract::Induction of apoptosis by the activation of caspase 3 makes it a promising target for designing anticancer drugs hence an investigation for the essential structural features mandatory for caspase 3 activation has been carried out using a dataset comprising of caspase 3 activator candidate drug Azixa in phase II clinic...
journal_title:Current computer-aided drug design
pub_type: 杂志文章
doi:10.2174/1573409911666150701103342
更新日期:2015-01-01 00:00:00
abstract::3D pharmacophore modeling is an important computational methodology for ligand-enzyme binding interactions in drug discovery. More specifically, a consensus pharmacophore model derived from diverse ligands is a key determinant upon which the prediction power of computational models is based for designing novel ligands...
journal_title:Current computer-aided drug design
pub_type: 杂志文章
doi:10.2174/157340912803519615
更新日期:2012-12-01 00:00:00
abstract::A new mathematical approach is proposed in the definition of molecular descriptors (MDs) based on the application of information theory concepts. This approach stems from a new matrix representation of a molecular graph (G) which is derived from the generalization of an incidence matrix whose row entries correspond to...
journal_title:Current computer-aided drug design
pub_type: 杂志文章
doi:10.2174/1573409911309020003
更新日期:2013-06-01 00:00:00
abstract::The apparently paradoxical lack of correlation between the huge increase in the discovery of new potential drug targets made possible by the post-genomic sciences and new drugs development has stimulated many different interpretations. Here we illustrate the general principle of redundancy of biological pathways on ha...
journal_title:Current computer-aided drug design
pub_type: 杂志文章
doi:10.2174/157340911796504297
更新日期:2011-09-01 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
pub_type: 杂志文章
doi:10.2174/1573409916666200131114018
更新日期:2020-01-30 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
pub_type: 杂志文章,评审
doi:10.2174/157340910791760082
更新日期:2010-09-01 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
pub_type: 杂志文章
doi:10.2174/1573409916666200625142447
更新日期:2020-06-25 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
pub_type: 杂志文章
doi:10.2174/15734099113096660045
更新日期:2013-12-01 00:00:00
abstract::Acquired immunodeficiency syndrome (AIDS) is one of the most devastating diseases of current century which is caused by the human immunodeficiency virus (HIV). Although great efforts have been done to fight the virus, the need of new therapeutics candidates of any kind still remains. This process needs huge time and e...
journal_title:Current computer-aided drug design
pub_type: 杂志文章
doi:10.2174/157340991004150518150646
更新日期:2014-01-01 00:00:00