Browsing by Subject "prediction"

Now showing items 1-20 of 31

    • Article  

      A novel QSPR model for predicting θ (lower critical solution temperature) in polymer solutions using molecular descriptors 

      Melagraki, G.; Afantitis, Antreas; Sarimveis, H.; Koutentis, Panayiotis Andreas; Markopoulos, J.; Igglessi-Markopoulou, O. (2007)
      In this study, we present a new model that has been developed for the prediction of θ, (lower critical solution temperature) using a database of 169 data points that include 12 polymers and 67 solvents. For the characterization ...
    • Article  

      Biphasic modeling of brain tumor biomechanics and response to radiation treatment 

      Angeli, S.; Stylianopoulos, T. (2016)
      Biomechanical forces are central in tumor progression and response to treatment. This becomes more important in brain cancers where tumors are surrounded by tissues with different mechanical properties. Existing mathematical ...
    • Article  

      Brownian-like kinematics of ball milling for particulate structural modeling 

      Doumanidis, C. C.; Kaabi, H. A. Al; Alzaabi, A. S. M.; Gunduz, I. E.; Rebholz, Claus; Doumanidis, C. C. (2016)
      Ball milling motion has been previously studied through computationally expensive, off-line experimental video processing and numerical simulations by the discrete element method. This research establishes a more efficient ...
    • Article  

      A combined LS-SVM & MLR QSAR workflow for predicting the inhibition of CXCR3 receptor by quinazolinone analogs 

      Afantitis, Antreas; Melagraki, G.; Sarimveis, H.; Koutentis, Panayiotis Andreas; Igglessi-Markopoulou, O.; Kollias, G. (2010)
      AnovelQSARworkflowis constructed that combines MLR with LS-SVM classification techniques for the identification of quinazolinone analogs as "active" or "nonactive" CXCR3 antagonists. The accuracy of the LS-SVM classification ...
    • Article  

      Comparison of three-jet events in pp̄ collisions at √s = 1.8 TeV to predictions from a next-to-leading order QCD calculation 

      Acosta, D.; Affolder, T.; Albrow, M. G.; Ambrose, D.; Amidei, D.; Anikeev, K.; Antos, J.; Apollinari, G.; Arisawa, T.; Artikov, A.; Ashmanskas, W.; Azfar, F.; Azzi-Bacchetta, P.; Bacchetta, N.; Bachacou, H.; Badgett, W.; Barbaro-Galtieri, A.; Barnes, V. E.; Barnett, B. A.; Baroiant, S.; Barone, M.; Bauer, G.; Bedeschi, F.; Behari, S.; Belforte, S.; Bell, W. H.; Bellettini, G.; Bellinger, J.; Benjamin, D.; Beretvas, Andrew; Bhatti, A.; Binkley, M.; Bisello, D.; Bishai, M.; Blair, R. E.; Blocker, C.; Bloom, K.; Blumenfeld, B.; Bocci, A.; Bodek, A.; Bolla, G.; Bolshov, A.; Bortoletto, D.; Boudreau, J.; Bromberg, C.; Brubaker, E.; Budagov, J.; Budd, H. S.; Burkett, K.; Busetto, G.; Byrum, K. L.; Cabrera, S.; Campbell, M.; Carithers, W.; Carlsmith, D.; Castro, A.; Cauz, D.; Cerri, A.; Cerrito, L.; Chapman, J.; Chen, C.; Chen, Y. C.; Chertok, M.; Chiarelli, G.; Chlachidze, G.; Chlebana, F.; Chu, M. L.; Chung, J. Y.; Chung, W. H.; Chung, Y. S.; Ciobanu, C. I.; Clark, A. G.; Coca, M.; Connolly, A.; Convery, M.; Conway, J.; Cordelli, M.; Cranshaw, J.; Culbertson, R.; Dagenhart, D.; D'Auria, S.; De Barbaro, P.; De Cecco, S.; Dell'Agnello, Simone; Dell'Orso, M.; Demers, S.; Demortier, L.; Deninno, M.; De Pedis, D.; Derwent, P. F.; Dionisi, Carlo; Dittmann, J. R.; Dominguez, A.; Donati, S.; D'Onofrio, M.; Dorigo, T.; Eddy, N.; Erbacher, R.; Errede, D.; Errede, S.; Eusebi, R.; Farrington, S.; Feild, R. G.; Fernandez, J. P.; Ferretti, C.; Field, R. D.; Fiori, I.; Flaugher, B.; Flores-Castillo, L. R.; Foster, G. W.; Franklin, M.; Friedman, J.; Furic, I.; Gallinaro, M.; Garfinkel, A. F.; Gay, C.; Gerdes, D. W.; Gerstein, E.; Giagu, S.; Giannetti, P.; Giolo, K.; Giordani, M.; Giromini, P.; Glagolev, V.; Glenzinski, D.; Gold, M.; Goldschmidt, N.; Goldstein, J.; Gomez, G.; Goncharov, M.; Gorelov, I.; Goshaw, A. T.; Gotra, Y.; Goulianos, Konstantin; Gresele, A.; Grosso-Pilcher, C.; Guenther, M.; Guimaraes Da Costa, J.; Haber, C.; Hahn, S. R.; Halkiadakis, Eva; Handler, R.; Happacher, F.; Hara, K.; Harris, R. M.; Hartmann, F.; Hatakeyama, K.; Hauser, J.; Heinrich, J.; Hennecke, M.; Herndon, M.; Hill, C.; Hocker, A.; Hoffman, K. D.; Hou, S.; Huffman, B. T.; Hughes, R.; Huston, J.; Incandela, J.; Introzzi, G.; Iori, M.; Issever, C.; Ivanov, A.; Iwata, Y.; Iyutin, B.; James, E.; Jones, M.; Kamon, T.; Kang, J.; Unel, M.; Kartal, S.; Kasha, H.; Kato, Y.; Kennedy, R. D.; Kephart, R.; Kilminster, B.; Kim, D. H.; Kim, H. S.; Kim, M. J.; Kim, S. B.; Kim, S. H.; Kim, T. H.; Kim, Y. K.; Kirby, M.; Kirsch, L.; Klimenko, S.; Koehn, P.; Kondo, K.; Konigsberg, J.; Korn, A.; Korytov, A.; Kroll, J.; Kruse, M.; Krutelyov, V.; Kuhlmann, S. E.; Kuznetsova, N.; Laasanen, A. T.; Lami, S.; Lammel, S.; Lancaster, J.; Lancaster, M.; Lander, R.; Lannon, K.; Lath, A.; Latino, G.; LeCompte, T.; Le, Y.; Lee, J.; Lee, S. W.; Leonardo, N.; Leone, S.; Lewis, J. D.; Li, K.; Lin, C. S.; Lindgren, M.; Liss, T. M.; Litvintsev, D. O.; Liu, T.; Lockyer, N. S.; Loginov, A.; Loreti, M.; Lucchesi, D.; Lukens, P.; Lyons, L.; Lys, J.; Madrak, R.; Maeshima, K.; Maksimovic, P.; Malferrari, L.; Manca, G.; Mangano, M.; Mariotti, M.; Martin, A.; Martin, M.; Martin, V.; Martínez, M.; Mazzanti, P.; McFarland, K. S.; McIntyre, P.; Menguzzato, M.; Menzione, A.; Merkel, P.; Mesropian, C.; Meyer, A.; Miao, T.; Miller, J. S.; Miller, R.; Miscetti, S.; Mitselmakher, G.; Moggi, N.; Moore, R.; Moulik, T.; Mukherjee, A.; Mulhearn, M.; Muller, T.; Munar, A.; Murat, P.; Nachtman, J.; Nahn, S.; Nakano, I.; Napora, R.; Nelson, C.; Nelson, T.; Neu, C.; Neubauer, M. S.; Newman-Holmes, C.; Niell, F.; Nigmanov, T.; Nodulman, L.; Oh, S. H.; Oh, Y. D.; Ohsugi, T.; Okusawa, T.; Orejudos, W.; Pagliarone, C.; Palmonari, F.; Paoletti, R.; Papadimitriou, Vaia; Patrick, J.; Pauletta, G.; Paulini, M.; Pauly, T.; Paus, C.; Pellett, D.; Penzo, A.; Phillips, T. J.; Piacentino, G.; Piedra, J.; Pitts, K. T.; Pompoš, A.; Pondrom, L.; Pope, G.; Poukhov, O.; Pratt, T.; Prokoshin, F.; Proudfoot, J.; Ptohos, Fotios; Punzi, G.; Rademacker, J.; Rakitine, A.; Ratnikov, F.; Ray, H.; Reichold, A.; Renton, P.; Rescigno, M.; Rimondi, F.; Ristori, L.; Robertson, W. J.; Rodrigo, T.; Rolli, S.; Rosenson, L.; Roser, R.; Rossin, R.; Rott, C.; Roy, A.; Ruiz, A.; Ryan, D.; Safonov, A.; St. Denis, R.; Sakumoto, W. K.; Saltzberg, D.; Sanchez, C.; Sansoni, A.; Santi, L.; Sarkar, S.; Savard, P.; Savoy-Navarro, A.; Schlabach, P.; Schmidt, E. E.; Schmidt, M. P.; Schmitt, M.; Scodellaro, L.; Scribano, A.; Sedov, A.; Seidel, S.; Seiya, Y.; Semenov, A.; Semeria, F.; Shapiro, M. D.; Shepard, P. F.; Shibayama, T.; Shimojima, M.; Shochet, M.; Sidoti, A.; Sill, A.; Sinervo, P.; Slaughter, A. J.; Sliwa, K.; Snider, F. D.; Snihur, R.; Spezziga, M.; Spiegel, L.; Spinella, F.; Spiropulu, Maria; Stefanini, A.; Strologas, John; Stuart, D.; Sukhanov, A.; Sumorok, K.; Suzuki, T.; Takashima, R.; Takikawa, K.; Tanaka, M.; Tecchio, M.; Teng, P. K.; Terashi, K.; Tesarek, R. J.; Tether, S.; Thorn, J.; Thomas, T. L.; Thompson, A. S.; Thomson, E.; Tipton, P.; Tkaczyk, S.; Toback, D.; Tollefson, K.; Tonelli, D.; Tönnesmann, M.; Toyoda, H.; Trischuk, W.; Tseng, J.; Tsybychev, D.; Turini, N.; Ukegawa, F.; Unverhau, T.; Vaiciulis, T.; Varganov, A.; Vataga, E.; Vejcik III, S.; Velev, G.; Veramendi, G.; Vidal, R.; Vila, I.; Vilar, R.; Volobouev, I.; Von Der Mey, M.; Wagner, R. G.; Wagner, R. L.; Wagner, W.; Wan, Z.; Wang, C.; Wang, M. J.; Wang, S. M.; Ward, B.; Waschke, S.; Waters, D.; Watts, T.; Weber, M.; Wester III, W. C.; Whitehouse, B.; Wicklund, A. B.; Wicklund, E.; Williams, H. H.; Wilson, P.; Winer, B. L.; Wolbers, S.; Wolter, M.; Worm, S.; Wu, X.; Würthwein, F.; Yang, U. K.; Yao, W.; Yeh, G. P.; Yi, K.; Yoh, J.; Yoshida, T.; Yu, I.; Yu, S.; Yun, J. C.; Zanello, L.; Zanetti, A.; Zetti, F.; Zucchelli, S. (2005)
      The properties of three-jet events with total transverse energy greater than 320 GeV and individual jet energy greater than 20 GeV have been analyzed and compared to absolute predictions from a next-to-leading order (NLO) ...
    • Article  

      Computational predictions of the tensile properties of electrospun fibre meshes: Effect of fibre diameter and fibre orientation 

      Barocas, V. Η; Stylianopoulos, T.; Bashur, C. A.; Goldstein, A. S.; Guelcher, S. A. (2008)
      The mechanical properties of biomaterial scaffolds are crucial for their efficacy in tissue engineering and regenerative medicine. At the microscopic scale, the scaffold must be sufficiently rigid to support cell adhesion, ...
    • Article  

      Computational sidechain placement and protein mutagenesis with implicit solvent models 

      Lopes, A.; Alexandrov, A.; Bathelt, C.; Archontis, Georgios Z.; Simonson, T. (2007)
      Structure prediction and computational protein design should benefit from accurate solvent models. We have applied implicit solvent models to two problems that are central to this area. First, we performed sidechain placement ...
    • Article  

      Hindcast of oil-spill pollution during the Lebanon crisis in the Eastern Mediterranean, July-August 2006 

      Coppini, G.; De Dominicis, M.; Zodiatis, George; Lardner, R.; Pinardi, N.; Santoleri, R.; Colella, S.; Bignami, F.; Hayes, D. R.; Soloviev, D.; Georgiou, Georgios C.; Kallos, George B. (2011)
      MOON (Mediterranean Operational Oceanography Network http://www.moon-oceanforecasting.eu) provides near-real-time information on oil-spill detection (ocean color and SAR) and predictions [ocean forecasts (MFS and CYCOFOS) ...
    • Article  

      iLIR database: A web resource for LIR motif-containing proteins in eukaryotes 

      Jacomin, A. -C; Samavedam, S.; Promponas, Vasilis J.; Nezis, I. P. (2016)
      Atg8-family proteins are the best-studied proteins of the core autophagic machinery. They are essential for the elongation and closure of the phagophore into a proper autophagosome. Moreover, Atg8-family proteins are ...
    • Article  

      Image-based multiscale modeling predicts tissue-level and network-level fiber reorganization in stretched cell-compacted collagen gels 

      Barocas, V. Η; Sander, E. A.; Stylianopoulos, T.; Tranquillo, R. T. (2009)
      The mechanical environment plays an important role in cell signaling and tissue homeostasis. Unraveling connections between externally applied loads and the cellular response is often confounded by extracellular matrix ...
    • Article  

      Ligand - Based virtual screening procedure for the prediction and the identification of novel β-amyloid aggregation inhibitors using Kohonen maps and Counterpropagation Artificial Neural Networks 

      Afantitis, Antreas; Melagraki, G.; Koutentis, Panayiotis Andreas; Sarimveis, H.; Kollias, G. (2011)
      In this work we have developed an in silico model to predict the inhibition of β-amyloid aggregation by small organic molecules. In particular we have explored the inhibitory activity of a series of 62 N-phenylanthranilic ...
    • Article  

      Measurement of the W boson polarization in top decay at CDF at √s = 1.8 TeV 

      Acosta, D.; Affolder, T.; Albrow, M. G.; Ambrose, D.; Amidei, D.; Anikeev, K.; Antos, J.; Apollinari, G.; Arisawa, T.; Artikov, A.; Ashmanskas, W.; Azfar, F.; Azzi-Bacchetta, P.; Bacchetta, N.; Bachacou, H.; Badgett, W.; Barbaro-Galtieri, A.; Barnes, V. E.; Barnett, B. A.; Baroiant, S.; Barone, M.; Bauer, G.; Bedeschi, F.; Behari, S.; Belforte, S.; Bell, W. H.; Bellettini, G.; Bellinger, J.; Benjamin, D.; Beretvas, Andrew; Bhatti, A.; Binkley, M.; Bisello, D.; Bishai, M.; Blair, R. E.; Blocker, C.; Bloom, K.; Blumenfeld, B.; Bocci, A.; Bodek, A.; Bolla, G.; Bolshov, A.; Bortoletto, D.; Boudreau, J.; Bromberg, C.; Brubaker, E.; Budagov, J.; Budd, H. S.; Burkett, K.; Busetto, G.; Byrum, K. L.; Cabrera, S.; Campbell, M.; Carithers, W.; Carlsmith, D.; Castro, A.; Cauz, D.; Cerri, A.; Cerrito, L.; Chapman, J.; Chen, C.; Chen, Y. C.; Chertok, M.; Chiarelli, G.; Chlachidze, G.; Chlebana, F.; Chu, M. L.; Chung, J. Y.; Chung, W. H.; Chung, Y. S.; Ciobanu, C. I.; Clark, A. G.; Coca, M.; Connolly, A.; Convery, M.; Conway, J.; Cordelli, M.; Cranshaw, J.; Culbertson, R.; Dagenhart, D.; D'Auria, S.; De Barbaro, P.; De Cecco, S.; Dell'Agnello, Simone; Dell'Orso, M.; Demers, S.; Demortier, L.; Deninno, M.; De Pedis, D.; Derwent, P. F.; Dionisi, Carlo; Dittmann, J. R.; Dominguez, A.; Donati, S.; D'Onofrio, M.; Dorigo, T.; Eddy, N.; Erbacher, R.; Errede, D.; Errede, S.; Eusebi, R.; Farrington, S.; Feild, R. G.; Fernandez, J. P.; Ferretti, C.; Field, R. D.; Fiori, I.; Flaugher, B.; Flores-Castillo, L. R.; Foster, G. W.; Franklin, M.; Friedman, J.; Furic, I.; Gallinaro, M.; Garcia-Sciveres, M.; Garfinkel, A. F.; Gay, C.; Gerdes, D. W.; Gerstein, E.; Giagu, S.; Giannetti, P.; Giolo, K.; Giordani, M.; Giromini, P.; Glagolev, V.; Glenzinski, D.; Gold, M.; Goldschmidt, N.; Goldstein, J.; Gomez, G.; Goncharov, M.; Gorelov, I.; Goshaw, A. T.; Gotra, Y.; Goulianos, Konstantin; Gresele, A.; Grosso-Pilcher, C.; Guenther, M.; Guimaraes Da Costa, J.; Haber, C.; Hahn, S. R.; Halkiadakis, Eva; Handler, R.; Happacher, F.; Hara, K.; Harris, R. M.; Hartmann, F.; Hatakeyama, K.; Hauser, J.; Heinrich, J.; Hennecke, M.; Herndon, M.; Hill, C.; Hocker, A.; Hoffman, K. D.; Hou, S.; Huffman, B. T.; Hughes, R.; Huston, J.; Incandela, J.; Introzzi, G.; Iori, M.; Issever, C.; Ivanov, A.; Iwata, Y.; Iyutin, B.; James, E.; Jones, M.; Kamon, T.; Kang, J.; Karagoz Unel, M.; Kartal, S.; Kasha, H.; Kato, Y.; Kennedy, R. D.; Kephart, R.; Kilminster, B.; Kim, D. H.; Kim, H. S.; Kim, M. J.; Kim, S. B.; Kim, S. H.; Kim, T. H.; Kim, Y. K.; Kirby, M.; Kirsch, L.; Klimenko, S.; Koehn, P.; Kondo, K.; Konigsberg, J.; Korn, A.; Korytov, A.; Kroll, J.; Kruse, M.; Krutelyov, V.; Kuhlmann, S. E.; Kuznetsova, N.; Laasanen, A. T.; Lami, S.; Lammel, S.; Lancaster, J.; Lancaster, M.; Lander, R.; Lannon, K.; Lath, A.; Latino, G.; LeCompte, T.; Le, Y.; Lee, J.; Lee, S. W.; Leonardo, N.; Leone, S.; Lewis, J. D.; Li, K.; Lin, C. S.; Lindgren, M.; Liss, T. M.; Litvintsev, D. O.; Liu, T.; Lockyer, N. S.; Loginov, A.; Loreti, M.; Lucchesi, D.; Lukens, P.; Lyons, L.; Lys, J.; Madrak, R.; Maeshima, K.; Maksimovic, P.; Malferrari, L.; Manca, G.; Mangano, M.; Mariotti, M.; Martin, A.; Martin, M.; Martin, V.; Martínez, M.; Mazzanti, P.; McFarland, K. S.; McIntyre, P.; Menguzzato, M.; Menzione, A.; Merkel, P.; Mesropian, C.; Meyer, A.; Miao, T.; Miller, J. S.; Miller, R.; Miscetti, S.; Mitselmakher, G.; Moggi, N.; Moore, R.; Moulik, T.; Mukherjee, A.; Mulhearn, M.; Muller, T.; Munar, A.; Murat, P.; Nachtman, J.; Nahn, S.; Nakano, I.; Napora, R.; Nelson, C.; Nelson, T.; Neu, C.; Neubauer, M. S.; Newman-Holmes, C.; Niell, F.; Nigmanov, T.; Nodulman, L.; Oh, S. H.; Oh, Y. D.; Ohsugi, T.; Okusawa, T.; Orejudos, W.; Pagliarone, C.; Palmonari, F.; Paoletti, R.; Papadimitriou, Vaia; Patrick, J.; Pauletta, G.; Paulini, M.; Pauly, T.; Paus, C.; Pellett, D.; Penzo, A.; Phillips, T. J.; Piacentino, G.; Piedra, J.; Pitts, K. T.; Pompoš, A.; Pondrom, L.; Pope, G.; Poukhov, O.; Pratt, T.; Prokoshin, F.; Proudfoot, J.; Ptohos, Fotios; Punzi, G.; Rademacker, J.; Rakitine, A.; Ratnikov, F.; Ray, H.; Reichold, A.; Renton, P.; Rescigno, M.; Rimondi, F.; Ristori, L.; Robertson, W. J.; Rodrigo, T.; Rolli, S.; Rosenson, L.; Roser, R.; Rossin, R.; Rott, C.; Roy, A.; Ruiz, A.; Ryan, D.; Safonov, A.; St. Denis, R.; Sakumoto, W. K.; Saltzberg, D.; Sanchez, C.; Sansoni, A.; Santi, L.; Sarkar, S.; Savard, P.; Savoy-Navarro, A.; Schlabach, P.; Schmidt, E. E.; Schmidt, M. P.; Schmitt, M.; Scodellaro, L.; Scribano, A.; Sedov, A.; Seidel, S.; Seiya, Y.; Semenov, A.; Semeria, F.; Shapiro, M. D.; Shepard, P. F.; Shibayama, T.; Shimojima, M.; Shochet, M.; Sidoti, A.; Sill, A.; Sinervo, P.; Slaughter, A. J.; Sliwa, K.; Snider, F. D.; Snihur, R.; Spezziga, M.; Spiegel, L.; Spinella, F.; Spiropulu, Maria; Stefanini, A.; Strologas, John; Stuart, D.; Sukhanov, A.; Sumorok, K.; Suzuki, T.; Takashima, R.; Takikawa, K.; Tanaka, M.; Tecchio, M.; Teng, P. K.; Terashi, K.; Tesarek, R. J.; Tether, S.; Thom, J.; Thompson, A. S.; Thomson, E.; Tipton, P.; Tkaczyk, S.; Toback, D.; Tollefson, K.; Tonelli, D.; Tönnesmann, M.; Toyoda, H.; Trischuk, W.; Tseng, J.; Tsybychev, D.; Turini, N.; Ukegawa, F.; Unverhau, T.; Vaiciulis, T.; Varganov, A.; Vataga, E.; Vejcik III, S.; Velev, G.; Veramendi, G.; Vidal, R.; Vila, I.; Vilar, R.; Volobouev, I.; Von Der Mey, M.; Wagner, R. G.; Wagner, R. L.; Wagner, W.; Wan, Z.; Wang, C.; Wang, M. J.; Wang, S. M.; Ward, B.; Waschke, S.; Waters, D.; Watts, T.; Weber, M.; Wester III, W. C.; Whitehouse, B.; Wicklund, A. B.; Wicklund, E.; Williams, H. H.; Wilson, P.; Winer, B. L.; Wolbers, S.; Wolter, M.; Worm, S.; Wu, X.; Würthwein, F.; Yang, U. K.; Yao, W.; Yeh, G. P.; Yi, K.; Yoh, J.; Yoshida, T.; Yu, I.; Yu, S.; Yun, J. C.; Zanello, L.; Zanetti, A.; Zetti, F.; Zucchelli, S. (2005)
      The polarization of the W boson in t →Wb decay is unambiguously predicted by the standard model of electroweak interactions and is a powerful test of our understanding of the tbW vertex. We measure this polarization from ...
    • Article  

      Nest-site preferences of Eleonora's Falcon (Falco eleonorae) on uninhabited islets of the Aegean Sea using GIS and species distribution models 

      Kassara, Christina; Dimalexis, Anastasios; Fric, Jakob; Karris, Georgios; Barboutis, Christos; Sfenthourakis, Spyros (2012)
      Eleonora's Falcon breeds colonially on small islands of the Mediterranean Sea and Macaronesia. Despite the wealth of papers highlighting the importance of nesting characteristics on this species' breeding performance, few ...
    • Article  

      A novel QSAR model for evaluating and predicting the inhibition activity of dipeptidyl aspartyl fluoromethylketones 

      Afantitis, Antreas; Melagraki, G.; Sarimveis, H.; Koutentis, Panayiotis Andreas; Markopoulos, J.; Igglessi-Markopoulou, O. (2006)
      A linear quantitative structure activity relationship model is obtained using Multiple Linear Regression (MLR) analysis as applied to a series of 49 dipeptidyl aspartyl fluoromethylketone derivatives with inhibitory activity ...
    • Article  

      A novel simple QSAR model for the prediction of anti-HIV activity using multiple linear regression analysis 

      Afantitis, Antreas; Melagraki, G.; Sarimveis, H.; Koutentis, Panayiotis Andreas; Markopoulos, J.; Igglessi-Markopoulou, O. (2006)
      A quantitative-structure activity relationship was obtained by applying Multiple Linear Regression Analysis to a series of 80 1-[2-hydroxyethoxy-methyl] -6-(phenylthio) thymine (HEPT) derivatives with significant anti-HIV ...
    • Article  

      Oligoacetic acid characterization by isocratic and linear salt gradient anion-exchange chromatography 

      Li, H.; Patrickios, Costas S. (2001)
      A homologous series of four oligomers of acetic acid (namely acetic acid, succinic acid, tricarballylic acid, and tetracarboxylic acid) is characterized using isocratic and linear salt gradient anion-exchange chromatography. ...
    • Article  

      On count time series prediction 

      Christou, V.; Fokianos, Konstantinos (2015)
      We consider the problem of assessing prediction for count time series based on either the Poisson distribution or the negative binomial distribution. By a suitable parametrization we employ both distributions with the same ...
    • Article  

      Optimization of biaryl piperidine and 4-amino-2-biarylurea MCH1 receptor antagonists using QSAR modeling, classification techniques and virtual screening 

      Melagraki, G.; Afantitis, Antreas; Sarimveis, H.; Koutentis, Panayiotis Andreas; Markopoulos, J.; Igglessi-Markopoulou, O. (2007)
      This paper presents the results of an optimization study on biaryl piperidine and 4-amino-2-biarylurea MCH1 receptor antagonists, which was accomplished by using quantitative-structure activity relationships (QSARs), ...
    • Article  

      Predicting precipitation level 

      Fokianos, Konstantinos; Kedem, B.; Short, D. A. (1996)
      We present a generalized logistic regression model for the statistical analysis of multicategorical time series. The model is suitably parameterized and partial likelihood inference is proposed for estimation of the unknown ...
    • Article  

      Prediction and Classification of Non-stationary Categorical Time Series 

      Fokianos, Konstantinos; Kedem, B. (1998)
      Partial likelihood analysis of a general regression model for the analysis of non-stationary categorical time series is presented, taking into account stochastic time dependent covariates. The model links the probabilities ...