BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

167 related articles for article (PubMed ID: 29130688)

  • 21. Predictive QSAR modeling of phosphodiesterase 4 inhibitors.
    Kovalishyn V; Tanchuk V; Charochkina L; Semenuta I; Prokopenko V
    J Mol Graph Model; 2012 Feb; 32():32-8. PubMed ID: 22023934
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Speeding up Early Drug Discovery in Antiviral Research: A Fragment-Based in Silico Approach for the Design of Virtual Anti-Hepatitis C Leads.
    Speck-Planche A; Dias Soeiro Cordeiro MN
    ACS Comb Sci; 2017 Aug; 19(8):501-512. PubMed ID: 28437091
    [TBL] [Abstract][Full Text] [Related]  

  • 23. TOPS-MODE model of multiplexing neuroprotective effects of drugs and experimental-theoretic study of new 1,3-rasagiline derivatives potentially useful in neurodegenerative diseases.
    Luan F; Cordeiro MN; Alonso N; García-Mera X; Caamaño O; Romero-Duran FJ; Yañez M; González-Díaz H
    Bioorg Med Chem; 2013 Apr; 21(7):1870-9. PubMed ID: 23415089
    [TBL] [Abstract][Full Text] [Related]  

  • 24. A quantitative structure-activity relationship (QSAR) analysis of the effects of aromatic substitution on the anticonvulsant activity and toxicity of arylsuccinimides.
    Lange J; Kaźmierski W; Daroszewski J
    Pol J Pharmacol Pharm; 1991; 43(1):71-7. PubMed ID: 1771166
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Towards cheminformatics-based estimation of drug therapeutic index: Predicting the protective index of anticonvulsants using a new quantitative structure-index relationship approach.
    Chen S; Zhang P; Liu X; Qin C; Tao L; Zhang C; Yang SY; Chen YZ; Chui WK
    J Mol Graph Model; 2016 Jun; 67():102-10. PubMed ID: 27262528
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Fragment-similarity-based QSAR (FS-QSAR) algorithm for ligand biological activity predictions.
    Myint KZ; Ma C; Wang L; Xie XQ
    SAR QSAR Environ Res; 2011 Jun; 22(3):385-410. PubMed ID: 21598200
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Modeling the activity of furin inhibitors using artificial neural network.
    Worachartcheewan A; Nantasenamat C; Naenna T; Isarankura-Na-Ayudhya C; Prachayasittikul V
    Eur J Med Chem; 2009 Apr; 44(4):1664-73. PubMed ID: 18977558
    [TBL] [Abstract][Full Text] [Related]  

  • 28. A general ANN-based multitasking model for the discovery of potent and safer antibacterial agents.
    Speck-Planche A; Cordeiro MN
    Methods Mol Biol; 2015; 1260():45-64. PubMed ID: 25502375
    [TBL] [Abstract][Full Text] [Related]  

  • 29. NL MIND-BEST: a web server for ligands and proteins discovery--theoretic-experimental study of proteins of Giardia lamblia and new compounds active against Plasmodium falciparum.
    González-Díaz H; Prado-Prado F; Sobarzo-Sánchez E; Haddad M; Maurel Chevalley S; Valentin A; Quetin-Leclercq J; Dea-Ayuela MA; Teresa Gomez-Muños M; Munteanu CR; José Torres-Labandeira J; García-Mera X; Tapia RA; Ubeira FM
    J Theor Biol; 2011 May; 276(1):229-49. PubMed ID: 21277861
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Alignment-free prediction of a drug-target complex network based on parameters of drug connectivity and protein sequence of receptors.
    Viña D; Uriarte E; Orallo F; González-Díaz H
    Mol Pharm; 2009; 6(3):825-35. PubMed ID: 19281186
    [TBL] [Abstract][Full Text] [Related]  

  • 31. 3D MI-DRAGON: new model for the reconstruction of US FDA drug- target network and theoretical-experimental studies of inhibitors of rasagiline derivatives for AChE.
    Prado-Prado F; García-Mera X; Escobar M; Alonso N; Caamaño O; Yañez M; González-Díaz H
    Curr Top Med Chem; 2012; 12(16):1843-65. PubMed ID: 23030618
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Multi-target spectral moments for QSAR and Complex Networks study of antibacterial drugs.
    Prado-Prado FJ; Uriarte E; Borges F; González-Díaz H
    Eur J Med Chem; 2009 Nov; 44(11):4516-21. PubMed ID: 19631422
    [TBL] [Abstract][Full Text] [Related]  

  • 33. QSAR modeling of anti-invasive activity of organic compounds using structural descriptors.
    Katritzky AR; Kuanar M; Dobchev DA; Vanhoecke BW; Karelson M; Parmar VS; Stevens CV; Bracke ME
    Bioorg Med Chem; 2006 Oct; 14(20):6933-9. PubMed ID: 16908166
    [TBL] [Abstract][Full Text] [Related]  

  • 34. The advancement of multidimensional QSAR for novel drug discovery - where are we headed?
    Wang T; Yuan XS; Wu MB; Lin JP; Yang LR
    Expert Opin Drug Discov; 2017 Aug; 12(8):769-784. PubMed ID: 28562095
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Have artificial neural networks met expectations in drug discovery as implemented in QSAR framework?
    Dobchev D; Karelson M
    Expert Opin Drug Discov; 2016 Jul; 11(7):627-39. PubMed ID: 27149299
    [TBL] [Abstract][Full Text] [Related]  

  • 36. MIND-BEST: Web server for drugs and target discovery; design, synthesis, and assay of MAO-B inhibitors and theoretical-experimental study of G3PDH protein from Trichomonas gallinae.
    González-Díaz H; Prado-Prado F; García-Mera X; Alonso N; Abeijón P; Caamaño O; Yáñez M; Munteanu CR; Pazos A; Dea-Ayuela MA; Gómez-Muñoz MT; Garijo MM; Sansano J; Ubeira FM
    J Proteome Res; 2011 Apr; 10(4):1698-718. PubMed ID: 21184613
    [TBL] [Abstract][Full Text] [Related]  

  • 37. QSAR studies in the discovery of novel type-II diabetic therapies.
    Abuhammad A; Taha MO
    Expert Opin Drug Discov; 2016; 11(2):197-214. PubMed ID: 26558613
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Application of predictive QSAR models to database mining: identification and experimental validation of novel anticonvulsant compounds.
    Shen M; Béguin C; Golbraikh A; Stables JP; Kohn H; Tropsha A
    J Med Chem; 2004 Apr; 47(9):2356-64. PubMed ID: 15084134
    [TBL] [Abstract][Full Text] [Related]  

  • 39. In silico exploration of c-KIT inhibitors by pharmaco-informatics methodology: pharmacophore modeling, 3D QSAR, docking studies, and virtual screening.
    Chaudhari P; Bari S
    Mol Divers; 2016 Feb; 20(1):41-53. PubMed ID: 26416560
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Design and synthesis of new of 3-(benzo[d]isoxazol-3-yl)-1-substituted pyrrolidine-2, 5-dione derivatives as anticonvulsants.
    Malik S; Ahuja P; Sahu K; Khan SA
    Eur J Med Chem; 2014 Sep; 84():42-50. PubMed ID: 25014748
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.