Computational models for 5αR inhibitors for treatment of prostate cancer: review of previous works and screening of natural inhibitors of 5αR2.

Abstract:

:Taking into consideration the high importance of the drug target 5-α-reductase (5αR) in prostate cancer in this work we are going first to review previous works and discuss works related to the computer aided drug design of 5αR inhibitors. We report new results in the in silico screening of natural 5αR inhibitors. Traditionally, drugs were discovered by testing compounds synthesized in time consuming multi-step processes against a battery of in vivo biological screens. Promising compounds were then further studied in development, where their pharmacokinetic properties, metabolism and potential toxicity were investigated. Here we present a study on herbal lead compounds and their potential binding affinity to the effectors molecules of major disease like Prostate Cancer. Clinical studies demonstrate a positive correlation between the extent of 5αR type 2 (5αR2) and malignant progression of precancerous lesions in prostate. Therefore, identification of effective, well-tolerated 5αR inhibitors represents a rational chemo preventive strategy. This study has investigated the effects of naturally occurring non-protein compounds berberine and monocaffeyltartaric acid that inhibits 5αR type2. Our results reveal that these compounds use less energy to bind to 5αR and inhibit its activity. Their high ligand binding affinity to 5αR introduce the prospect for their use in chemopreventive applications; in addition they are freely available natural compounds that can be safely used to prevent prostate cancer.

authors

Jayadeepa RM,Sharma S

doi

10.2174/157340911798260368

subject

Has Abstract

pub_date

2011-12-01 00:00:00

pages

231-7

issue

4

eissn

1573-4099

issn

1875-6697

pii

BSP/CCADD/E-Pub/00042

journal_volume

7

pub_type

杂志文章,评审
  • Structure Activity Relationship Studies of Gymnemic Acid Analogues for Antidiabetic Activity Targeting PPARγ.

    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

    authors: Tiwari P,Sharma P,Khan F,Sangwan NS,Mishra BN,Sangwan RS

    更新日期:2015-01-01 00:00:00

  • The Interaction of Isoflavone Phytoestrogens with ERα and ERβ by Molecular Docking and Molecular Dynamics Simulations.

    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

    authors: Wang T,Liu Y,Zhuang X,Luan F,Zhao C

    更新日期:2020-07-12 00:00:00

  • Systematic generation of chemical structures for rational drug design based on QSAR models.

    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

    pub_type: 杂志文章,评审

    doi:10.2174/157340911793743556

    authors: Funatsu K,Miyao T,Arakawa M

    更新日期:2011-03-01 00:00:00

  • Multi-target QSAR and docking study of steroids binding to corticosteroid-binding globulin and sex hormone-binding globulin.

    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

    authors: Nikolic K,Filipic S,Agbaba D

    更新日期:2012-12-01 00:00:00

  • Comparison of Performance of Docking, LIE, Metadynamics and QSAR in Predicting Binding Affinity of Benzenesulfonamides.

    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

    authors: Raškevičius V,Kairys V

    更新日期:2015-01-01 00:00:00

  • Molecular factors influencing the affinity of flavonoid compounds on P-glycoprotein efflux transporter.

    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

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

    更新日期:2014-01-01 00:00:00

  • Importance of Kier-Hall topological indices in the QSAR of anticancer drug design.

    abstract::An important area of theoretical drug design research is quantitative structure activity relationship (QSAR) using structural invariants. The impetus for this research trend comes from various directions. Researchers in chemical documentation have searched for a set of invariants which will be more convenient than the...

    journal_title:Current computer-aided drug design

    pub_type: 杂志文章,评审

    doi:10.2174/157340912800492384

    authors: Nandi S,Bagchi MC

    更新日期:2012-06-01 00:00:00

  • Shannon's, mutual, conditional and joint entropy information indices: generalization of global indices defined from local vertex invariants.

    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

    authors: Barigye SJ,Marrero-Ponce Y,Santiago OM,López YM,Pérez-Giménez F,Torrens F

    更新日期:2013-06-01 00:00:00

  • Novel Thiosemicarbazide Hybrids with Amino Acids and Peptides Against Hepatocellular Carcinoma: A Molecular Designing Approach Towards Multikinase Inhibitor.

    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

    pub_type: 杂志文章

    doi:10.2174/1573409911666151103114300

    authors: Chacko S,Samanta S

    更新日期:2015-01-01 00:00:00

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

    abstract:BACKGROUND:Thiadiazole not only acts as "hydrogen binding domain" and "two-electron donor system" but also as constrained pharmacophore. METHODS:The maleate salt of 2-((2-hydroxy-3-((4-morpholino-1, 2,5-thiadiazol-3-yl) oxy) propyl) amino)- 2-methylpropan-1-ol (TML-Hydroxy)(4) has been synthesized. This methodology in...

    journal_title:Current computer-aided drug design

    pub_type: 杂志文章

    doi:10.2174/1573409915666190206142756

    authors: Mali SN,Sawant S,Chaudhari HK,Mandewale MC

    更新日期:2019-01-01 00:00:00

  • Discovery of Novel HIV-1 Integrase Inhibitors Using QSAR-Based Virtual Screening of the NCI Open Database.

    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

    pub_type: 杂志文章

    doi:10.2174/1573409912666160414104902

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

    更新日期:2016-01-01 00:00:00

  • Multiple-targets Directed Screening of Flavonoid Compounds from Citrus Species to find out Antimalarial Lead with Predicted Mode of Action: An In Silico and Whole Cell-based In vitro Approach.

    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

    authors: Gogoi N,Chetia D,Gogoi B,Das A

    更新日期:2019-12-25 00:00:00

  • Prospects of Wedelolactone as a Chemotherapeutic Agent in Gynecological Cancers; Clue From its In Vitro and In Silico Investigation.

    abstract:BACKGROUND:Identification and development of new drug candidates to be used singly or in combination therapy is critical in anticancer research. In recent years, accumulating evidence encouraged us to investigate the anti-proliferative effects of a small and emerging phytochemical Wedelolactone (WDL) in estrogen-depend...

    journal_title:Current computer-aided drug design

    pub_type: 杂志文章

    doi:10.2174/1573409915666191015113134

    authors: Sarwar S,Amed T,Qazi NG,Yu JQ,Huq F

    更新日期:2020-01-01 00:00:00

  • A Novel Amino Acid Sequence-based Computational Approach to Predicting Cell-penetrating Peptides.

    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

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

    更新日期:2019-01-01 00:00:00

  • Prediction of Activities of BRAF (V600E) Inhibitors by SW-MLR and GA-MLR Methods.

    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

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

    更新日期:2017-01-01 00:00:00

  • Quantitative structure-activity relationship model, molecular docking simulation and computational design of some novel compounds against DNA gyrase receptor.

    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

    authors: Adeniji SE

    更新日期:2020-06-25 00:00:00

  • Computerassisted models for Blood Brain Barrier permeation of 1, 5-Benzodiazepines.

    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

    authors: Dhavale RP,Choudhari PB,Bhatia MS

    更新日期:2020-01-30 00:00:00

  • QSAR of Chalcones Utilizing Theoretical Molecular Descriptors.

    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

    pub_type: 杂志文章

    doi:10.2174/1573409911666150702101559

    authors: Nandi S,Bagchi MC

    更新日期:2015-01-01 00:00:00

  • Molecular Docking, Physicochemical Properties, Pharmacokinetics and Toxicity of Flavonoids Present in Euterpe Oleracea Martius.

    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

    pub_type: 杂志文章

    doi:10.2174/1573409916666200619122803

    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

  • Pharmacophore Modeling, Docking and Molecular Dynamics Studies on Caspase-3 Activators Binding at β-Tubulin Site.

    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

    authors: Bhunia SS,Singh S,Saxena S,Saxena AK

    更新日期:2015-01-01 00:00:00

  • 3D-QSAR Selectivity Analysis of 1-Adamantyl-3-Heteroaryl Urea Analogs as Potent Inhibitors of Mycobacterium tuberculosis.

    abstract::A 3D-QSAR selectivity analysis of 53 adamantyl heteroaryl urea derivatives active against M. tuberculosis is reported. These analogs inhibit Mycobacterial Membrane Protein Large 3 (MmpL3), a proposed transporter for cell wall mycolic acids. However, these analogs also exhibit affinity towards human soluble epoxide hyd...

    journal_title:Current computer-aided drug design

    pub_type: 杂志文章

    doi:10.2174/1573409911666150803154114

    authors: Wadhwa P,Bagchi S,Sharma A

    更新日期:2015-01-01 00:00:00

  • Virtual Screening Strategy Combined Bayesian Classification Model, Molecular Docking for Acetyl-CoA Carboxylases Inhibitors.

    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

    pub_type: 杂志文章

    doi:10.2174/1573409914666181109110030

    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

  • Integrated ligand based pharmacophore model derived from diverse FAAH covalent ligand classes.

    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

    authors: Shen L,Huang H,Makriyannis A,Fisher LS

    更新日期:2012-12-01 00:00:00

  • In silico stereo-electronic analysis of PMD (p-Menthane-3-8-Diol) and its derivatives for pharmacophore development may aid discovery of novel insect repellents.

    abstract::PMD (p-menthane-3-8-diol) is an insect repellent that can be synthesized chemically or derived from a steam distillate residue of the leaves of lemon eucalyptus, Corymbia citriodora. It is one of the few natural product endorsed by the Center for Disease Control (USA) for topical application to protect against mosquit...

    journal_title:Current computer-aided drug design

    pub_type: 杂志文章

    doi:10.2174/15734099113099990021

    authors: Bhattacharjee AK

    更新日期:2013-09-01 00:00:00

  • Mixed ligand-metal Complexes of 2-(butan-2-ylidene) hydrazinecarbothioamide- Synthesis, Characterization, Computer Aided Drug Character Evaluation and in vitro Biological Activity Assessment.

    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

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

    更新日期:2019-09-26 00:00:00

  • Adapting interrelated two-way clustering method for quantitative structure-activity relationship (QSAR) modeling of mutagenicity/non- mutagenicity of a diverse set of chemicals.

    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

    authors: Majumdar S,Basak SC,Grunwald GD

    更新日期:2013-12-01 00:00:00

  • Salient Aspects of PBP2A-inhibition; A QSAR Study.

    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

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

    更新日期:2018-01-01 00:00:00

  • Pharmacophore and Docking Guided Virtual Screening Study for Discovery of Type I Inhibitors of VEGFR-2 Kinase.

    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

    authors: Bhojwani HR,Joshi UJ

    更新日期:2017-01-01 00:00:00

  • Computer-Aided Detection System for the Classification of Non-Small Cell Lung Lesions using SVM.

    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

    pub_type: 杂志文章

    doi:10.2174/1573409916666200102122021

    authors: Jain S

    更新日期:2020-01-01 00:00:00

  • Structural Insights into the Molecular Design of ROS1 Inhibitor for the Treatment of Non-Small Cell Lung Cancer (NSCLC).

    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

    pub_type: 杂志文章

    doi:10.2174/1573409916666200504105249

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

    更新日期:2020-05-03 00:00:00