This book is a long-term study and analysis presented in a more scientifically popular form. The matter is presented in a freer way in order to explain the matter. The present monographic work seeks to introduce the possibility that oncological diseases become chronic (like diabetes). The theoretical basis on which we refer is the fact that cancer cells feed only on carbohydrates. In turn, there is evidence that some nitrile glycosides have anti-cancer properties. The study is divided into four parts presented in the form of goals. Proceeding from the particular to the general, the fine molecular structure and all possible biochemical reactions of Amygdalin are examined. By itself, it is highly toxic to the physiologically active animal cell. Amygdalin has NO pronounced antitumor properties. In the first goal, he examines precisely the acceptable form for admission. It is concluded that the active anticancer molecular form is a stoichiometric mixture of the amide and carboxyl derivative of the nitrile glycoside. The second goal is to study the exact action of the anti-tumor product already introduced. After an extremely precise biochemical and mathematical analysis, a series of biochemical cycles of the exact passage of the product through the digestive system, penetration into the blood, approach to cancer cells and selective passage through their cell membrane have been deduced. The third goal is to define the chemical and pharmaceutical molecular forms. 54 methodological and/or pharmaceutical models with hundreds of variables for each are reviewed and analyzed here. The fourth goal presents the interpretable prediction of anticancer susceptibility of glycosidic amides. The affinities of the pharmaceutical form to each known cancer cell line are reviewed. The results surpass many times all anti-cancer drugs and with significantly reduced toxicity. In an additional part, a generalized clinical control is presented. When conducting the treatment, it is also vitally important to divert the therapy process to irreversible pathology. Result: The cancer can become chronic and become a practically curable disease., ATLAS - https://doi.org/10.5281/zenodo.8009390 | Full calculations and subsequent interpretations are presented here: DOI: 10.5281/zenodo.7550371, {"references": ["ACS (Ed.). (1991). Unproven methods of cancer management: Laetrile. CA: A Cancer Journal for Clinicians, 41(3), 187-92. doi:10.3322/canjclin.41.3.187", "Ahmed, M. (2016). Ethnicity, Identity and Group Vitality: A study of Burushos of Srinagar. Journal of Ethnic and Cultural Studies, 3(1), 1-10. doi:10.29333/ejecs/51", "Airley, R. (2009). Cancer Chemotherapy: Basic Science to the Clinic. Wiley", "Allinger, N. L. (1977). Conformational analysis. 130. MM2. A hydrocarbon force field utilizing V1 and V2 torsional terms. J. Am. Chem. Soc., 99(25), 8127\u20138134. doi:10.1021/ja00467a001", "Allinger, N. L. (1977). Conformational analysis. 130. MM2. A hydrocarbon force field utilizing V1 and V2 torsional terms. Journal of the American Chemical Society, 99(25), 8127-34. doi:10.1021/ja00467a001", "Ames, B. N., Durston, W. E., Yamasaki, E., & Lee, F. D. (1973). Carcinogens are Mutagens: A Simple Test System Combining Liver Homogenates for Activation and Bacteria for Detection. Proceedings of the National Academy of Sciences of the United States of America, 70(8), 2281-5. doi:10.1073/pnas.70.8.2281", "Ani, R., Anand, P. S., Sreenath, B., & Deepa, O. S. (2020). In Silico Prediction Tool for Drug-likeness of Compounds based on Ligand Based Screening. International Journal of Research in Pharmaceutical Sciences, 11(4), 6273-81. doi:10.26452/ijrps.v11i4.3310", "Aoyagi, T., shizuka, M., Takeuchi, T., & Umezawa, H. (1977). Enzyme inhibitors in relation to cancer therapy. Japanese journal of antibiotics, 30, 121-32", "Azad, I., Nasibullah, M., Khan, T., Hassan, F., & Akhter, Y. (2018). Exploring the novel heterocyclic derivatives as lead molecules for design and development of potent anticancer agents. Journal of Molecular Graphics and Modelling, 81, 211-28. doi:10.1016/j.jmgm.2018.02.013", "Babi\u0107, D., Klein, D. J., Lukovits, I., Nikoli\u0107, S., & Trinajsti\u0107, N. (2001). Resistance\u2010distance matrix: A computational algorithm and its application. Int. Journal of Quantum Chemistry, 90(1), 166-76. doi:10.1002/qua.10057", "Baderna, D., & Benfenati, E. (2019). In vitro - Micronucleus activity (IRFMN/VERMEER) - v.1.0.0. (A. Manganaro, Ed.) Retrieved from https://www.vegahub.eu/vegahub-dwn/qmrf/QMRF_MNVITRO_VERMEER.pdf", "Balaban, A. T. (1982). Distance Connectivity Index. Chemical Physics Letters, 89, 399-404", "Barceloux, D. (2008). Medical toxicology of natural substances: foods, fungi, medicinal herbs, plants, and venomous animals. John Wiley & Sons", "Baroni, A., Paoletti, I., Greco, R., Satriano, R. A., Ruocco, E., Tufano, M. A., & Perez, J. J. (2005). Immunomodulatory effects of a set of amygdalin analogues on human keratinocyte cells. Experimental Dermatology, 14(11), 854-9. doi:10.1111/j.1600-0625.2005.00368.x", "Barwina, M., Wiergowski , M., & Anand, J. S. (2013). Accidental poisoning with peach seeds used as anticancer therapy--report of two cases. Przeglad lekarski, 70(8), 687-9", "Batista, J., Tan, L., & Bajorath, J. (2010). Atom-Centered Interacting Fragments and Similarity Search Applications. Journal of Chemical Information and Modeling, 50(1), 79-86. doi:10.1021/ci9004223", "Baue, C. A., Schneider, G., & G\u00f6ller, A. H. (2019). Machine learning models for hydrogen bond donor and acceptor strengths using large and diverse training data generated by first-principles interaction free energies. Journal of Cheminformatics, 11, 59. doi:10.1186/s13321-019-0381-4", "Benfenati, E. (2020, 10). Adipose tissue:blood model (INERIS) - v. 1.0.0. (A. Manganaro, Ed.) Retrieved from https://www.vegahub.eu/vegahub-dwn/qmrf/QMRF_ADIPOSE_BLOOD_IRMFN.pdf", "Benfenati, E., & Marzo, M. (2020, March). QMRF Title:Developmental/Reproductive Toxicity library (PG) (version 1.1.0). Retrieved from https://www.vegahub.eu/vegahub-dwn/qmrf/QMRF_DEVTOX_PG.pdf", "Benfenati, E., Benigni, R., Demarini, D. M., Helma, C., Kirkland, D., Martin, T. M., . . . Yang, C. (2009). Predictive Models for Carcinogenicity and Mutagenicity: Frameworks, State-of-the-Art, and Perspectives. Journal of Environmental Science and Health, 27(2), 57-90. doi:10.1080/10590500902885593", "Benfenati, \u0415., Roncaglioni, \u0410., Lombardo, \u0410., & Manganaro, \u0410. (2019). Integrating QSAR, Read-Across, andScreening Tools: The VEGAHUB Platform as an Example. In H. Hong (Ed.). Springer. doi:10.1007/978-3-030-16443-0", "Benigni, R., & Bossa, C. (2011). Mechanisms of chemical carcinogenicity and mutagenicity: a review with implications for. Chemical Reviews, 111(4), 2507-36. doi:10.1021/cr100222q", "Benigni, R., Bossa, C., & Tcheremenskaia, O. (2013). In vitro cell transformation assays for an integrated, alternative assessment of carcinogenicity: a databased. Mutagenesis, 28(1), 101-16. doi:10.1093/mutage/ges059", "Benigni, R., Bossa, C., & Tcheremenskaia, O. (2013). Nongenotoxic carcinogenicity of chemicals: mechanisms of action and early recognition through a new set of structural alerts. Chemical Reviews, 113(5), 2940-57. doi:10.1021/cr300206t", "Benigni, R., Bossa, C., Jeliazkova, N. G., Netzeva, T. I., & Worth, A. P. (2008). The Benigni/Bossa rulebase for mutagenicity and carcinogenicity - a module of toxtree. Technical Report EUR 23241 EN, European Commission, Joint Research Centre. Retrieved from https://publications.jrc.ec.europa.eu/repository/handle/JRC43157", "Bernard, H. R. (1998). Handbook of Methods in Cultural Anthropology.", "BHAGAVAN, N. V. (2002). CHAPTER 1 - Water, Acids, Bases, and Buffers. In Medical Biochemistry (pp. 1-16). Academci press. doi:10.1016/B978-012095440-7/50003-2", "Bhullar, K. S., Lagar\u00f3n, N. O., McGowan, E. M., Parmar, I., Jha, A., Hubbard, B. P., & Rupasinghe, H. V. (2018). Kinase-targeted cancer therapies: progress, challenges and future directions. Molecular Cancer, 17(48). doi:10.1186/s12943-018-0804-2", "Biaglow, J. E., & Durand, R. E. (1978). The enhanced radiation response of an in vitro tumour model by cyanide released from hydrolysed amygdalin. International Journal of Radiation Biology and Related Studies in Physics, Chemistry, and Medicine, 33(4), 397-401. doi:10.1080/09553007814550311", "Bickerton, G. R., Paolini, G. V., Besnard, J., Muresan, S., & Hopkins, A. L. (2012). Quantifying the chemical beauty of drugs. Nature Chemistry, 4(2), 90-8. doi:10.1038/nchem.1243", "Bitting, T. H. (1978). Drugs--Federal Drug Administration ban on Laetrile treatments for terminally ill cancer patients is arbitrary and capricious. Tulsa Law Review (former: TL Journal), 14, 222-5", "B\u00f6cker, A., Derksen, S., Schmidt, E., Teckentrup, A., & Schneider, G. (2005). A hierarchical clustering approach for large compound libraries. Journal of Chemical Information and Modeling, 45(4), 807-15. doi:10.1021/ci0500029", "Bodor, N., Buchwald, P., & Huang, M. J. (1999). The Role of Computational Techniques in Retrometabolic Drug Design Strategies. Theoretical and Computational Chemistry, 8, 569-618", "Bolarinwa, I. F., Orfila, C., & Morgan, M. R. (2014). Amygdalin content of seeds, kernels and food products commercially-available in the UK. Food Chemistry, 152(1), 133-9. doi:10.1016/j.foodchem.2013.11.002", "Born, M., & Wolf, E. (1999). Principles of Optics: Electromagnetic Theory of Propagation, Interference and Diffraction of Light (Vol. section 2.3.3). Cambridge University Press", "Box, G., & Wilson, K. (1951). On the Experimental Attainment of Optimum Conditions. Journal of the Royal Statistical Society, 12", "Brenk, R., Schipani, A., James, D., Krasowski, A., Gilbert, I. H., Frearson, J., & Wyatt, P. G. (2008). Lessons Learnt from Assembling Screening Libraries for Drug Discovery for Neglected Diseases. ChemMedChem, 3(3), 435-44. doi:10.1002/cmdc.200700139", "Brown, I. D. (2009). Topology and Chemistry. Structural Chemistry, 13, 339-55. doi:10.1023/A:1015872125545", "Busby, S. A., & Burris, T. P. (2012). Retinoic Acid Receptors (RARA, RARB, and RARC). In S. Choi (Ed.), Encyclopedia of Signaling Molecules. New York: Springer. doi:10.1007/978-1-4419-0461-4_385", "Cadow, J., Born, J., Manica, M., Oskooei, A., & Mart\u00ednez, M. R. (2020). PaccMann: a web service for interpretable anticancer compound sensitivity prediction. Nucleic Acids Research, 48(W1), W502-8. doi:10.1093/nar/gkaa327", "Cappelli, C. I., Manganelli, S., Toma, C., Benfenati, E., & Mombelli, E. (2021). Prediction of the Partition Coefficient between Adipose Tissue and Blood for Environmental Chemicals: From Single QSAR Models to an Integrated Approach. Molecular Informatics, 40(3). doi:10.1002/minf.202000072", "Carter, J. H., McLafferty, M. A., & Goldman, P. (1980). Role of the gastrointestinal microflora in amygdalin (laetrile)-induced cyanide toxicity. Biochemical Pharmacology, 29(3), 301-4. doi:10.1016/0006-2952(80)90504-3", "Cassano, A., Manganaro, A., Martin, T., Young, D., Piclin, N., Pintore, M., . . . Benfenati, E. (2010). The CAESAR models for developmental toxicity. Chemistry Central Journal, 4(1). doi:10.1186/1752-153X-4-S1-S4", "Chabner, B. A., & Longo, D. L. (2018). Cancer Chemotherapy, Immunotherapy and Biotherapy: Principles and Practice (6th Ed. ed.). Lippincott Williams & Wilkins (LWW)", "Chang, C., & Schiano, T. (2007). Review article: drug hepatotoxicity. Alimentary Pharmacology & Therapeutics, 25(10), 1135-51. doi:10.1111/j.1365-2036.2007.03307.x", "Chang, H. K., Shin, M. S., Yang, H. Y., Lee, J. W., Kim, Y. S., Lee, M. H., . . . Kim, C. J. (2006). Amygdalin induces apoptosis through regulation of Bax and Bcl-2 expressions in human DU145 and LNCaP prostate cancer cells. Biological and Pharmaceutical Bulletin, 29(8), 1597-602. doi:10.1248/bpb.29.1597", "Chang, L., Zhu, H., Li, W., Liu, H., Zhang, Q., & Chen, H. (2005). Protective effects of amygdalin on hyperoxia-exposed type II alveolar epithelial cells isolated from premature rat lungs in vitro. Zhonghua er ke za zhi. Chinese journal of pediatrics, 43(2), 118-23", "Chen, Y., Ma, J., Wang, F., Hu, J., Cui, A., Wei, C., . . . Li, F. (2013). Amygdalin induces apoptosis in human cervical cancer cell line HeLa cells. Immunopharmacology and Immunotoxicology, 35(1), 43-51. doi:10.3109/08923973.2012.738688", "Christopher, A. (2017). Drawing conclusions from data: descriptive statistics, inferential statistics, and hypothesis testing, In Interpreting and using statistics in psychological research. SAGE Publications Inc. doi:10.4135/9781506304144", "Chye, F. Y., & Sim, K. Y. (2009). Antioxidative and Antibacterial Activities of Pangium edule Seed Extracts. International Journal of Pharmacology, 5, 285-97. doi:10.3923/ijp.2009.285.297", "Clayden, J. (2001). Chapter 48. In Organometallic Chemistry (pp. 1311\u20131314). Oxford University Press", "C\u00f6mert, S., Akin, Y., Vitrinel, A., Telatar, B., A\u011fikuru, T., G\u00f6z\u00fc, H., . . . Turan, S. (2010). A mutation in thyroid hormone receptor beta causing \"resistance to thyroid hormone\" in a neonate. Minerva Pediatrics, 62(4), 419-22", "Curran, W. J. (1980). Law-medicine notes. Laetrile for the terminally ill: Supreme Court stops the nonsense. The New England Journal of Medicine, 302(11), 619-21. doi:10.1056/NEJM198003133021108", "Dahlman-Wright, K., Cavailles, V., Fuqua, S. A., Jordan, V. C., Katzenellenbogen, J. A., Korach, K. S., . . . Gustafsson, J. A. (2006, December). International Union of Pharmacology. LXIV. Estrogen receptors. Pharmacological Reviews, 58(4), 773-81. doi:10.1124/pr.58.4.8", "Daina, A., Michielin, O., & Zoete, V. (2014). iLOGP: A Simple, Robust, and Efficient Description of n-Octanol/Water Partition Coefficient for Drug Design Using the GB/SA Approach. Journal of Chemical Information and Modeling, 54(12), 3284-301. doi:10.1021/ci500467k", "Daina, A., Michielin, O., & Zoete, V. (2017). SwissADME: a free web tool to evaluate pharmacokinetics, drug-likeness and medicinal chemistry friendliness of small molecules. Scientific Reports, 7(42717). doi:10.1038/srep42717", "Damian, V., Sandu, A., Damian, M., Potra, F., & Carmichael, G. R. (2002). The Kinetic PreProcessor KPP -- A Software Environment for Solving Chemical Kinetics. Computers and Chemical Engineering, 26(11), 1567-79", "Davey, R. A., & Grossmann, M. (2016). Androgen Receptor Structure, Function and Biology: From Bench to Bedside. The Clinical biochemist, 37(1), 3-15", "Davignon, J. P., Trissel, L. A., & Kleinman, L. M. (1978). Pharmaceutical assessment of amygdalin (Laetrile) products. Cancer Treatment Reviews, 62(1), 99-104", "De Berardinis , R. J., Lum, J. J., Hatzivassiliou, G., & Thompson, C. B. (2008). The biology of cancer: metabolic reprogramming fuels cell growth and proliferation. Cell Metabolism, 7(1), 11-20. doi:10.1016/j.cmet.2007.10.002", "Desegaulx, M., Sirdaarta, J., Rayan, P., Cock, I. E., & McDonnell, P. A. (2015). An examination of the anti-bacterial, anti-fungal and anti-Giardial properties of macadamia nut. Acta Horticulturae, 1106, 239-46. doi:10.17660/ActaHortic.2015.1106.36", "Devillers, J., & Balaban, A. T. (1999). Topological Indices and Related Descriptors in QSAR and QSPR. Amsterdam, Netherlands: Gordon and Breach", "Devore, J. L. (2011). Probability and Statistics for Engineering and the Sciences (8th ed.). Boston, MA, US: Cengage Learning", "Di, L., & Kerns, E. (2008). Drug-like Properties: Concepts, Structure Design and Methods. Academic Press", "Diamanti-Kandarakis, E., Bourguignon, J. P., Giudice, L. C., Hauser, R., Prins, G. S., Soto, A. M., . . . Gore, A. C. (2009). Endocrine-disrupting chemicals: an Endocrine Society scientific statement. Endocrine reviews, 30(4), 293-342. doi:10.1210/er.2009-0002", "Dimitrov, S. D., Diderich, R., Sobanski, T., Pavlov, T. S., Chankov, G., Chapkanov, A., . . . Mekenyan, O. (2016). QSAR Toolbox \u2013 workflow and major functionalities. SAR and QSAR in Environmental Research, 27(3), 203-19. doi:10.1080/1062936X.2015.1136680", "Do , J., Hwang, J., Seo, S., Woo, W., & Nam, S. (2008). Antiasthmatic activity and selective inhibition of type 2 helper T cell response by aqueous extract of semen armeniacae amarum. Immunopharmacology and Immunotoxicology, 28(2), 213-225. doi:10.1080/08923970600815253", "Doak, B. C., Over, B., Giordanetto, F., & Kihlberg, J. (2014). Oral druggable space beyond the rule of 5: insights from drugs and clinical candidates. Chemistry & Biology, 21(9), 1115-42. doi:10.1016/j.chembiol.2014.08.013", "Doan, T. B., Cheung, V., Clyne, C. D., Hilton, H. N., Eriksson, N., Young, M. J., . . . Graham, J. D. (2020). A tumour suppressive relationship between mineralocorticoid and retinoic acid receptors activates a transcriptional program consistent with a reverse Warburg effect in breast cancer. Breast Cancer Research volume, 22, 122. doi:10.1186/s13058-020-01355-x", "Dral, P. O., Wu, X., Sp\u00f6rkel, L., Koslowski, A., & Thiel, W. (2016). Semiempirical Quantum-Chemical Orthogonalization-Corrected Methods: Benchmarks for Ground-State Properties. Journal of Chemical Theory and Computation, 12(3), 1097-120. doi:10.1021/acs.jctc.5b01047", "DruLiTo, D. L. (2020, 12 23). Drug-likeness rules. Retrieved from http://www.niper.gov.in/pi_dev_tools/DruLiToWeb/DruLiTo_index.html", "Durak, Z. E., B\u00fcber, S., Devrim, E., Kocao\u011flu, H., & Durak, I. (2014). Aqueous extract from taxus baccata inhibits adenosine deaminase activity significantly in cancerous and noncancerous human gastric and colon tissues. Pharmacognosy magazine, 10(2), 214-16. doi:10.4103/0973-1296.133232", "Eatemadi, A., Aiyelabegan, H. T., Negahdari, B., Mazlomi, M. A., Daraee, H., Daraee, N., . . . Sadroddiny, E. (2017). Role of protease and protease inhibitors in cancer pathogenesis and treatment. Biomedicine & Pharmacotherapy, 86, 221-31. doi:10.1016/j.biopha.2016.12.021", "Ellison, N. M., Byar, D. P., & Newell, G. R. (1978). Special report on Laetrile: the NCI Laetrile Review. Results of the National Cancer Institute's retrospective Laetrile analysis. The New England Journal of Medicine, 299(10), 549-52. doi:10.1056/NEJM197809072991013", "EPA, U. (2020, 10 15). Toxicity Estimation Software Tool /TEST/. Retrieved from https://www.epa.gov/chemical-research/toxicity-estimation-software-tool-test", "Ertl, P., Rohde, B., & Selzer, P. (2000). Fast Calculation of Molecular Polar Surface Area as a Sum of Fragment-Based Contributions and Its Application to the Prediction of Drug Transport Properties. Journal of Medicinal Chemistry, 43(20), 3714-7. doi:10.1021/jm000942e", "Evans, R. M., & Mangelsdorf, D. J. (2014). Nuclear Receptors, RXR, and the Big Bang. Cell, 157(1), 255-66. doi:10.1016/j.cell.2014.03.012", "Femenia, A., Rossello, C., Mulet, A., & Canellas, J. (1995). Chemical Composition of Bitter and Sweet Apricot Kernels. Journal of Agricultural and Food Chemistry, 43(2), 356-61. doi:10.1021/jf00050a018", "Fenselau, C., Pallante, S., Batzinger, R. P., Benson, W. R., Barron, R. P., Sheinin, E. B., & Maienthal, M. (1977). Mandelonitrile beta-glucuronide: synthesis and characterization. Science, 198(4317), 625-7. doi:10.1126/science.335509", "Ferrari, T., & Gini, G. (2010). An open source multistep model to predict mutagenicity from statistical analysis and relevant structural alerts. Chemistry Central Journal, 4(1), 52. doi:10.1186/1752-153X-4-S1-S2", "Ferrari, T., Cattaneo, G., Gini, N., Golbamaki Bakhtyari, N., Manganaro, A., & Benfenati, E. (2013). Automatic knowledge extraction from chemical structures: the case of mutagenicity prediction. SAR and QSAR in Environmental, 24(5), 365-83. doi:10.1080/1062936X.2013.773376", "Fifen, J. J., Nsangou, M., Dhaouadi, Z., Motapon, O., & Jaidane, N. (2011). Solvent effects on the antioxidant activity of 3,4-dihydroxyphenylpyruvic acid : DFT and TD-DFT studies. Computational and Theoretical Chemistry, 966(1-3), 232-43. doi:10.1016/j.comptc.2011.03.006", "Fjodorova, N., & Novi\u010d, M. (2014). Comparison of criteria used to access carcinogenicity in CPANN QSAR models versus the knowledge-based expert system Toxtree . SAR and QSAR in Environmental Research, 25(6). doi:10.1080/1062936X.2014.898687", "Fjodorova, N., Vra\u010dko, M., Novi\u010d, M., Roncaglioni, A., & Benfenati, E. (2010). New public QSAR model for carcinogenicity. Chemistry Central Journal, 4(1). doi:10.1186/1752-153X-4-S1-S3", "Flamant, F., Baxter, J. D., Forrest, D., Refetoff, S., Samuels, H., & Scanlan, T. S. (2006, December). nternational Union of Pharmacology. LIX. The pharmacology and classification of the nuclear receptor superfamily: thyroid hormone receptors. Pharmacological Reviews, 58(4), 705-11. doi:10.1124/pr.58.4.3", "FoodData. (1984/2004). FDC ID: 168462. NDB Number: 11457", "Foote, J., & Raman, A. (2000). A relation between the principal axes of inertia and ligand binding. National Academy of Sciences, 97(3), 978-83. doi:10.1073/pnas.97.3.978", "Fukuda, T., Ito, H., Mukainaka, T., Tokuda, H., Nishino, H., & Yoshida, T. (2003). Anti-tumor promoting effect of glycosides from Prunus persica seeds. Biological and Pharmaceutical Bulletin, 26(2), 271-3. doi:10.1248/bpb.26.271", "Gary, W. C., Zhengyin, Y., Wensheng, L., & Masucci, A. (2012). The IC50 Concept Revisited. Current Topics in Medicinal Chemistry, 12(11). doi:10.2174/156802612800672844", "Ghafourian, T., & Amin, Z. (2013). QSAR Models for the Prediction of Plasma Protein Binding. Bioimpacts, 3(1), 21-7. doi:10.5681/bi.2013.011", "Ghandi, M., Huang, F. W., & Jan\u00e9-Valbuena, J. (2019). Next-generation characterization of the Cancer Cell Line Encyclopedia. Nature, 569, 503-8. doi:10.1038/s41586-019-1186-3", "Ghose, A. K., Viswanadhan, V. N., & Wendoloski, J. J. (1999). A Knowledge-Based Approach in Designing Combinatorial or Medicinal Chemistry Libraries for Drug Discovery. 1. A Qualitative and Quantitative Characterization of Known Drug Databases. Journal of combinatorial chemistry, 1(1), 55-68. doi:10.1021/cc9800071", "Gidopoulos, N. I., & Wilson, S. (2003). The Fundamentals of Electron Density, Density Matrix and Density Functional Theory in Atoms, Molecules and the Solid State. Springer Netherlands. doi:10.1007/978-94-017-0409-0", "Gleeson, M. (2007).