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ADAAPT: Amgen's data access, analysis, and prediction tools

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The Amgenȁ9s Data Access Analysis Prediction Tools (ADAAPT) system is a desktop decision support tool developed to provide flexible access and analysis of chemical and biological data. The system is platform independent, adaptable, easily deployed, and scalable. It consists of four main modules: access, analysis, prediction, and tools. The access module contains numerous user interfaces designed to retrieve data easily. The analysis module provides standard computational tools to perform property calculation, QSAR/QSPR, and statistical analyses. The prediction module contains in-house models to calculate a drug-likeness score and absorption index. Finally, the tools module provides a wide array of features that are of general interest to our scientists.

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Reference

  1. Ahlberg C (1999) Drug Discov. Today 4:370

    Article  CAS  Google Scholar 

  2. Fay N, Ullmann D (2002) Drug Discov. Today (information biotechnology suppl.) 7:S181

    Article  CAS  Google Scholar 

  3. Claus BL, Underwood DJ (2002) Drug Discov. Today 7:957

    Article  Google Scholar 

  4. Peakman T, Franks S, White C, Beggs M (2003) Drug Discov. Today 8:203

    Article  Google Scholar 

  5. Trepalin SV, Yarkov AV (2001) J. Chem. Inf. Comput. Sci. 41:100

    Article  CAS  Google Scholar 

  6. Ihlenfeldt W-D, Voigt JH, Bienfait B, Oellien F, Nicklaus MC (2002) J. Chem. Inf. Comput. Sci. 42:46

    Article  CAS  Google Scholar 

  7. Adams N, Schubert US (2004) J. Comb. Chem. 6:12

    Article  CAS  Google Scholar 

  8. Gobbi A, Funeriu S, Ioannou J, Wang J, Lee M-L, Palmer C, Bamford B (2004) J. Chem. Inf. Comput. Sci. 44:964

    Article  CAS  Google Scholar 

  9. Microsoft Corporation; http://www.microsoft.com

  10. Daylight Chemical Information Systems, Inc.; http://www.daylight.com

  11. (a) Wall L Practical extraction and report language, version 5.005_03; http://www.perl.com. (b) Wall L, Christiansen T, Schwartz RL (1996) Programming Perl, 2nd edn. Oȁ9Reilly & Associates, Inc

  12. Segal M, Akeley K (2003) The OpenGL graphic system: a specification (Version 1.5); Silicon Graphics, Inc. http://www.opengl.org/documentation/specs/version1.5/glspec15.pdf

  13. Trolltech, Inc.; http://www.trolltech.com

  14. Red Hat Inc.; http://www.redhat.com

  15. Silicon Graphics, Inc.; http://www.sgi.com

  16. Accelrys; http://www.accelrys.com

  17. Advanced Chemistry Development, Inc.; http://www.acdlabs.com

  18. Open LDAP Foundation; http://www.openldap.org

  19. CambridgeSoft Corp., http://www.cambridgesoft.com

  20. MDL Information System, http://www.mdli.com

  21. Daylight Theory Manual, http://www.daylight.com/dayhtml/doc/theory/theory.smiles.html

  22. Daylight Theory Manual, http://www.daylight.com/dayhtml/doc/theory/theory.smarts.html

  23. Daylight Theory Manual, http://www.daylight.com/dayhtml/doc/theory/theory.finger.html

  24. Carhart RE, Smith DH (1985) J. Chem. Inf. Comput. Sci. 25:64

    CAS  Google Scholar 

  25. Kearsley SK, Sallamack S, Fluder EM, Andose JD, Mosley RT, Sheridan RP (1996) J. Chem. Inf Comput. Sci. 36:118

    Article  CAS  Google Scholar 

  26. Cho SJ, Shen CF, Hermsmeier MA (2000) J. Chem. Inf Comput. Sci. 40:668

    CAS  Google Scholar 

  27. Glen WG, Dunn WJ, Scott DR (1989) Tetrahedron Comput. Methodol. 2:349

    Article  Google Scholar 

  28. Draper NR, Smith H (1966) Applied regression analysis. Wiley, New York

    Google Scholar 

  29. Wold S, Dunn WJ III (1983) J. Chem. Inf: Comput. Sci. 23:6

    Article  CAS  Google Scholar 

  30. Collantes ER, Dunn WJ III (1995) J. Med. Chem. 38:2705

    Article  CAS  Google Scholar 

  31. Jarvis RA, Patrick EA (1973) IEEE Trans. Comp. C-22:1025

    Article  Google Scholar 

  32. Ward JH (1963) J. Am. Stat. Assoc. 58:236

    Article  Google Scholar 

  33. Selwood DL, Livingstone DJ, Comley JCW, Oȁ9Dowd AB, Hudson AT, Jackson P, Jandu KS, Rose VS, Stables JN (1990) J. Med. Chem. 33:136

    Article  CAS  Google Scholar 

  34. Higgs RE, Bemis KG, Watson IA, Wikel JH (1997) J. Chem. Inf. Comput. Sci. 37:861

    Article  CAS  Google Scholar 

  35. Xu J, Stevenson J (2000) J. Chem. Inf Comput. Sci. 40:1177

    Article  CAS  Google Scholar 

  36. Egan WJ, Merz KM Jr, Baldwin JJ (2000) J. Med. Chem. 43:3867

    Article  CAS  Google Scholar 

Download references

Acknowledgement

We are grateful for helpful discussions and feedback from other members of the modeling group at Amgen. We especially thank Michael Bartberger, Matthew Lee, and Mick Kappler for their critical reading of the manuscript.

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Correspondence to Sung Jin Cho.

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Cho, S.J., Sun, Y. & Harte, W. ADAAPT: Amgen's data access, analysis, and prediction tools. J Comput Aided Mol Des 20, 249–261 (2006). https://doi.org/10.1007/s10822-006-9048-0

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  • DOI: https://doi.org/10.1007/s10822-006-9048-0

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