Novel chemical scaffolds against Schistosoma mansoni discovered by combi-QSAR, virtual screening, and confirmed by experimental evaluation with automated imaging
暂无分享,去创建一个
Anne E Carpenter | Andrade | Walter C. G. Valente | Willian T. Chaves | L. Kamentsky | E. Muratov | Nicholas Furnham | C. Melo-Filho | R. Braga | B. J. Neves | M. R. Senger | R. Dantas | F. Silva-Junior | João M. Rezende-Neto | R. Paveley | H. Carolina
[1] Andreas Bender,et al. Modelling of compound combination effects and applications to efficacy and toxicity: state-of-the-art, challenges and perspectives. , 2016, Drug discovery today.
[2] P. Hotez,et al. New Vaccines for the World's Poorest People. , 2016, Annual review of medicine.
[3] C. Andrade,et al. Natural Products as Leads in Schistosome Drug Discovery , 2015, Molecules.
[4] Bruno J. Neves,et al. In Silico Repositioning-Chemogenomics Strategy Identifies New Drugs with Potential Activity against Multiple Life Stages of Schistosoma mansoni , 2015, PLoS neglected tropical diseases.
[5] Jianmei Yang,et al. Inhibitory Effects and Analysis of RNA Interference on Thioredoxin Glutathione Reductase Expression in Schistosoma japonicum , 2014, The Journal of parasitology.
[6] Vinicius M Alves,et al. Virtual screening strategies in medicinal chemistry: the state of the art and current challenges. , 2014, Current topics in medicinal chemistry.
[7] C. King,et al. Human schistosomiasis , 2014, The Lancet.
[8] C. Andrade,et al. 3D-QSAR approaches in drug design: perspectives to generate reliable CoMFA models. , 2014, Current computer-aided drug design.
[9] C. Andrade,et al. In silico prediction of drug metabolism by P450. , 2014, Current drug metabolism.
[10] Alexander Tropsha,et al. Tuning HERG out: antitarget QSAR models for drug development. , 2014, Current topics in medicinal chemistry.
[11] J. Keiser,et al. Orally Active Antischistosomal Early Leads Identified from the Open Access Malaria Box , 2014, PLoS neglected tropical diseases.
[12] C. Andrade,et al. New tuberculostatic agents targeting nucleic acid biosynthesis: drug design using QSAR approaches. , 2013, Current pharmaceutical design.
[13] Carolina Horta Andrade,et al. Advances in methods for predicting phase I metabolism of polyphenols. , 2014, Current drug metabolism.
[14] Q. Bickle,et al. Automated Imaging and other developments in whole‐organism anthelmintic screening , 2013, Parasite immunology.
[15] Kunal Roy,et al. Some case studies on application of “rm2” metrics for judging quality of quantitative structure–activity relationship predictions: Emphasis on scaling of response data , 2013, J. Comput. Chem..
[16] Carolina H Andrade,et al. Assessing the performance of 3D pharmacophore models in virtual screening: how good are they? , 2013, Current topics in medicinal chemistry.
[17] Carolina H Andrade,et al. Discovery of new potential hits of Plasmodium falciparum enoyl-ACP reductase through ligand- and structure-based drug design approaches. , 2013, Bioorganic & medicinal chemistry letters.
[18] William L Jorgensen,et al. Challenges for academic drug discovery. , 2012, Angewandte Chemie.
[19] You-sheng Liang,et al. Susceptibility or resistance of praziquantel in human schistosomiasis: a review , 2012, Parasitology Research.
[20] Jürgen Bajorath,et al. Chemoinformatics: recent advances at the interfaces between computer and chemical information sciences, chemistry, and drug discovery. , 2012, Bioorganic & medicinal chemistry.
[21] Hélène Decornez,et al. Early phase drug discovery: cheminformatics and computational techniques in identifying lead series. , 2012, Bioorganic & medicinal chemistry.
[22] J. Keiser,et al. Development of an in vitro drug screening assay using Schistosoma haematobium schistosomula , 2012, Parasites & Vectors.
[23] P. Bork,et al. Drug discovery in the age of systems biology: the rise of computational approaches for data integration. , 2012, Current opinion in biotechnology.
[24] Ian H. Gilbert,et al. Whole Organism High-Content Screening by Label-Free, Image-Based Bayesian Classification for Parasitic Diseases , 2012, PLoS neglected tropical diseases.
[25] C. Andrade,et al. QSAR and QM/MM approaches applied to drug metabolism prediction. , 2012, Mini reviews in medicinal chemistry.
[26] Eugene N Muratov,et al. Existing and Developing Approaches for QSAR Analysis of Mixtures , 2012, Molecular informatics.
[27] Chuan-Xin Yu,et al. Thioredoxin Glutathione Reductase as a Novel Drug Target: Evidence from Schistosoma japonicum , 2012, PloS one.
[28] Adhemar Zerlotini,et al. A Systematically Improved High Quality Genome and Transcriptome of the Human Blood Fluke Schistosoma mansoni , 2012, PLoS neglected tropical diseases.
[29] Carolina H Andrade,et al. Structural and chemical basis for enhanced affinity to a series of mycobacterial thymidine monophosphate kinase inhibitors: fragment-based QSAR and QM/MM docking studies , 2012, Journal of Molecular Modeling.
[30] Vinicius M. Alves,et al. Combination of docking, molecular dynamics and quantum mechanical calculations for metabolism prediction of 3,4-methylenedioxybenzoyl-2-thienylhydrazone , 2012, Journal of Molecular Modeling.
[31] K. Roy,et al. Further exploring rm2 metrics for validation of QSPR models , 2011 .
[32] Anne E Carpenter,et al. Improved structure, function and compatibility for CellProfiler: modular high-throughput image analysis software , 2011, Bioinform..
[33] Q. Bickle,et al. Comparison of Microscopy and Alamar Blue Reduction in a Larval Based Assay for Schistosome Drug Screening , 2010, PLoS neglected tropical diseases.
[34] Carolina H Andrade,et al. Structure-based prediction and biosynthesis of the major mammalian metabolite of the cardioactive prototype LASSBio-294. , 2010, Bioorganic & medicinal chemistry letters.
[35] Wolfgang Link,et al. High content screening: seeing is believing. , 2010, Trends in biotechnology.
[36] David Rogers,et al. Extended-Connectivity Fingerprints , 2010, J. Chem. Inf. Model..
[37] Minyong Li,et al. A comparison of different electrostatic potentials on prediction accuracy in CoMFA and CoMSIA studies. , 2010, European journal of medicinal chemistry.
[38] Benjamin A. Ellingson,et al. Conformer Generation with OMEGA: Algorithm and Validation Using High Quality Structures from the Protein Databank and Cambridge Structural Database , 2010, J. Chem. Inf. Model..
[39] Anton J. Hopfinger,et al. 3D-Pharmacophore mapping of thymidine-based inhibitors of TMPK as potential antituberculosis agents , 2010, J. Comput. Aided Mol. Des..
[40] Davide Ballabio,et al. Evaluation of model predictive ability by external validation techniques , 2010 .
[41] P. Roy,et al. Roy et al. On Two Novel Parameters for Validation of Predictive QSAR Models. Molecules, 2009, 14, 1660-1701 , 2010, Molecules.
[42] A. Jadhav,et al. Structure mechanism insights and the role of nitric oxide donation guide the development of oxadiazole-2-oxides as therapeutic agents against schistosomiasis. , 2009, Journal of medicinal chemistry.
[43] Roberto Todeschini,et al. Comments on the Definition of the Q2 Parameter for QSAR Validation , 2009, J. Chem. Inf. Model..
[44] John P. Overington,et al. The genome of the blood fluke Schistosoma mansoni , 2009, Nature.
[45] K. Roy,et al. On Two Novel Parameters for Validation of Predictive QSAR Models , 2009, Molecules.
[46] A. Miele,et al. Glutathione reductase and thioredoxin reductase at the crossroad: The structure of Schistosoma mansoni thioredoxin glutathione reductase , 2008, Proteins.
[47] Anton Simeonov,et al. Identification of oxadiazoles as new drug leads for the control of schistosomiasis , 2008, Nature Medicine.
[48] A. Loukas,et al. New drugs for an ancient parasite , 2008, Nature Medicine.
[49] Solomon Nwaka,et al. Schistosomes: challenges in compound screening , 2007, Expert opinion on drug discovery.
[50] C. Caffrey,et al. Chemotherapy of schistosomiasis: present and future. , 2007, Current opinion in chemical biology.
[51] E. Davioud‐Charvet,et al. Thioredoxin Glutathione Reductase from Schistosoma mansoni: An Essential Parasite Enzyme and a Key Drug Target , 2007, PLoS medicine.
[52] P. Hawkins,et al. Comparison of shape-matching and docking as virtual screening tools. , 2007, Journal of medicinal chemistry.
[53] Mark T. D. Cronin,et al. The better predictive model: High q2 for the training set or low root mean square error of prediction for the test set? , 2005 .
[54] Arthur M. Doweyko,et al. 3D-QSAR illusions , 2004, J. Comput. Aided Mol. Des..
[55] W. L. Jorgensen. The Many Roles of Computation in Drug Discovery , 2004, Science.
[56] G. Coles,et al. Schistosomiasis control: keep taking the tablets. , 2004, Trends in parasitology.
[57] Ajay N. Jain,et al. Ligand-based structural hypotheses for virtual screening. , 2004, Journal of medicinal chemistry.
[58] R. Fruttero,et al. NO donors: Focus on furoxan derivatives , 2004 .
[59] A. Tropsha,et al. Beware of q2! , 2002, Journal of molecular graphics & modelling.
[60] S. Wold,et al. PLS-regression: a basic tool of chemometrics , 2001 .
[61] Araz Jakalian,et al. Fast, efficient generation of high‐quality atomic charges. AM1‐BCC model: I. Method , 2000 .
[62] Peter Willett,et al. Effect of Parameter Variations on the Effectiveness of HQSAR Analyses , 1999 .
[63] Klaus R. Liedl,et al. Improving the Predictive Quality of CoMFA Models , 1998 .
[64] H. Kubinyi. QSAR and 3D QSAR in drug design Part 1: methodology , 1997 .
[65] Thorsten Naumann,et al. HQSAR: A New, Highly Predictive QSAR Technique , 1997 .
[66] R. Prichard,et al. Oltipraz-induced decrease in the activity of cytosolic glutathione S-transferase in Schistosoma mansoni. , 1991, International journal for parasitology.
[67] Svante Wold,et al. Partial least-squares method for spectrofluorimetric analysis of mixtures of humic acid and lignin sulfonate , 1983 .
[68] Johann Gasteiger,et al. A new model for calculating atomic charges in molecules , 1978 .
[69] Kenneth J. White,et al. THE DURBIN-WATSON TEST FOR SERIAL CORRELATION WITH EXTREME SAMPLE SIZES OR MANY REGRESSORS' , 1977 .
[70] William P. Purcell,et al. A brief review and table of semiempirical parameters used in the Hueckel molecular orbital method , 1967 .
[71] J. Durbin,et al. Testing for serial correlation in least squares regression. I. , 1950, Biometrika.