Predictive statistics and artificial intelligence in the U.S. National Cancer Institute's drug discovery program for cancer and AIDS

Author:

Weinstein J. N.1,Myers T.1,Buolamwini J.1,Raghavan K.1,Van Osdol W.1,Licht J.1,Viswanadhan V. N.1,Kohn K. W.1,Rubinstein L. V.2,Koutsoukos A. D.2,Monks A.3,Scudiero D. A.3,Zaharevitz D.3,Chabner B. A.3,Anderson N. L.4,Grever M. R.5,Paull K. D.6

Affiliation:

1. Laboratory of Molecular Pharmacology, Developmental Therapeutics Program (DTP), Division of Cancer Treatment (DCT), National Cancer Institute (NCI), Bethesda, Maryland

2. Biometric Research Branch, Cancer Therapy Evaluation Program, DCT, NCI

3. Program Resources, Inc./DynCorp., NCI‐FCRDC, Frederick, Maryland

4. Large Scale Biology, Inc., Rockville, Maryland

5. Large Scale Biology, Inc., Rockville, Maryland DTP, DCT, NCI

6. Information Technology Branch, DTP, DCT, NCI; Current location: Gensia Pharmaceuticals, San Diego, California

Publisher

Oxford University Press (OUP)

Subject

Cell Biology,Developmental Biology,Molecular Medicine

Reference20 articles.

1. Status of the NCI preclinical antitumor drug discovery screen;Boyd MR;Principles & Practices of Oncol Updates,1989

2. ChabnerBA WeinsteinJN PaullKD GreverMR.Cell line‐based screening for new anticancer drugs. Proc Anti‐Cancer Chemotherapy (in press).

3. Display and Analysis of Patterns of Differential Activity of Drugs Against Human Tumor Cell Lines: Development of Mean Graph and COMPARE Algorithm

4. Halichondrin B and homohalichondrin B, marine natural products binding in the vinca domain of tubulin;Bai R;J Biol Chem,1991

5. Reproducibility and response patterns of the IC50 values and relative cell line sensitivities from the NCI human tumor cell line drug screening project;Paull KD;Proc Am Assoc Cancer Res,1988

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