Michael D. Wendt
Protein-Protein Interactions as Drug Targets

Shaomeng Wang, Yujun Zhao, Denzil Bernard, Angelo Aguilar, Sanjeev Kumar
Targeting the MDM2-p53 Protein-Protein Interaction for New Cancer Therapeutics

Kurt Deshayes, Jeremy Murray, Domagoj Vucic
The Development of Small-Molecule IAP Antagonists for the Treatment of Cancer

John F. Kadow, David R. Langley, Nicholas A. Meanwell, Michael A. Walker, Kap-Sun Yeung, Richard Pracitto
Protein-Protein Interaction Targets to Inhibit HIV-1 Infection
Nicholas A. Meanwell, David R. Langley
Inhibitors of Protein-Protein Interactions in Paramyxovirus Fusion a Focus on Respiratory Syncytial Virus

Andrew B. Mahon, Stephen E. Miller, Stephen T. Joy, Paramjit S. Arora
Rational Design Strategies for Developing Synthetic Inhibitors of Helical Protein Interfaces

Michael D. Wendt
The Discovery of Navitoclax, a Bcl-2 Family Inhibitor

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Human decision making involves problems which are being studied with increasing interest and sophistication. They range from controversial political decisions via individual consumer decisions to such simple tasks as signal discriminations. Although it would seem that decisions have to do with choices among available actions of any kind, there is general agreement that decision making research should pertain to choice prob lems which cannot be solved without a predecisional stage of finding choice alternatives, weighing evidence, and judging values. The ultimate objective of scientific research on decision making is two-fold: (a) to develop a theoretically sound technology for the optimal solution of decision problems, and (b) to formulate a descriptive theory of human decision making. The latter may, in tum, protect decision makers from being caught in the traps of their own limitations and biases. Recently, in decision making research the strong emphasis on well defined laboratory tasks is decreasing in favour of more realistic studies in various practical settings. This may well have been caused by a growing awareness of the fact that decision-behaviour is strongly determined by situational factors, which makes it necessary to look into processes of interaction between the decision maker and the relevant task environ ment. Almost inevitably there is a parallel shift of interest towards problems of utility measurement and the evaluation of consequences."

Michael D. Wendt Protein-Protein Interactions as Drug Targets Shaomeng Wang , Yujun Zhao , Denzil Bernard , Angelo Aguilar , Sanjeev Kumar Targeting the MDM2-p53 Protein-Protein Interaction for New Cancer Therapeutics Kurt Deshayes , Jeremy Murray , Domagoj Vucic The Development of Small-Molecule IAP Antagonists for the Treatment of Cancer John F. Kadow , David R. Langley , Nicholas A. Meanwell , Michael A. Walker , Kap-Sun Yeung , Richard Pracitto Protein-Protein Interaction Targets to Inhibit HIV-1 Infection Nicholas A. Meanwell , David R. Langley Inhibitors of Protein-Protein Interactions in Paramyxovirus Fusion - a Focus on Respiratory Syncytial Virus Andrew B. Mahon , Stephen E. Miller , Stephen T. Joy , Paramjit S. Arora Rational Design Strategies for Developing Synthetic Inhibitors of Helical Protein Interfaces Michael D. Wendt The Discovery of Navitoclax, a Bcl-2 Family Inhibitor

Verfahren, Frau Arent fUr ihre Geduld und Sorgfalt bei der Anfertigung des neuen Manuskripts, Frau Christa Wendt fur einige neue Zeichnungen, sowie dem Verlag fur sein Bemiihen urn eine preiswerte Ausgabe. Dank gebiihrt auch der Advanced Research Project Agency, aus deren Forschungsmitteln das Engineering Psychology Laboratory der University of Michigan teilweise zum Lebensunterhalt des zweiten Verfassers wahrend der Bearbeitung dieser Neuauflage beitrug. Ann Arbor, Michigan und Hamburg Peter R. Hofstatter und Dirk Wendt IN HALT 1 I Wissen und Zufall ............... . 1 1. Grundlegendes zur Methodik der Psychologie 1 Theorie: Abbildung der Realitat 2 Arten von Variablen ................. . 2 S-O-R-Variable ................... . Abhangige, unabhangige und konstant gehaltene Variable 3 Deduktion von Hypothesen .......... . 3 Experimente und Daten ................... . 3 4 Uberpriifung: Test .... .... . Probabilistische Gesetzmii1l.igkeiten . . . . . . . . . . . " . . .... 4 5 2. Statistische Entscheidungstechnik ..................... . 5 Zufallsbestatigung von Hypothesen ..................... . Ein Beispiel .................................. . 5 Das Verlii1l.lichkeitsniveau - eine Toleranzgrenze flir Zufallsbestatigungen 7 Fehler I. Art und Fehler II. Art . . . . . . . . . . . . . . " . 8 Zusammenfassung. . . . . . . . . . . . . . . . . . . " . " .. 9 Zum Begriff des "Wissens" in empirischen Wissenschaften 10 Il Die Analyse von Verteilungen .................. . 12 3. Deskriptive Statistik ........................ . 12 Urliste, Intervalleinteilung, Strichliste, Haufigkeitstabelle 12 Graphische Darstellungen: Polygone und Histogramme 14 Diskrete und kontinuierliche Variable .......... . 16 Interpretation von Verteilungskurven .......... . 17 Die Mittelwerte von Verteilungen und die Summenkurve 19 Arithmetisches Mittel oder Durchschnittswert 20 Berechnung aus Haufigkeitstabellen 20 Berechnung mit "angenommenem Mittelwert" 22 Gewogenes (oder gewichtetes) Mittel 24 25 Geometrisches und harmonisches Mittel 26 Modus ..... " .......... " .. 26 Zentralwert oder Median . . . . . . . ... Centile und Quartile, kumulierte Verteilung 27 Interpolation von Centilen 28 Summenpolygone . 29 30 Prozentrange ...".".."