Molecular docking and machine learning analysis of Abemaciclib in colon cancer

[1] Ferlay J(2015)Cancer incidence and mortality worldwide: sources, methods and major patterns in globocan 2012 Int J Cancer 136 359-86

[2] Soerjomataram I(2018)Machine learning identifies stemness features associated with oncogenic dedifferentiation Cell 173 338-54

[3] Dikshit R(2018)Machine learning detects pan-cancer ras pathway activation in the cancer genome atlas Cell Rep 23 172-80

[4] Eser S(2018)Spatial organization and molecular correlation of tumor-infiltrating lymphocytes using deep learning on pathology images Cell Rep 23 181-93

[5] Mathers C(2017)A stepwise integrated approach to personalized risk predictions in stage iii colorectal cancer Clin Cancer Res 23 1200-12

[6] Rebelo M(2017)Machine learning and docking models for mycobacterium tuberculosis topoisomerase i Tuberculosis 103 52-60

[7] Parkin DM(2019)An overview of scoring functions used for protein–ligand interactions in molecular docking Interdisc Sci Comput Life Sci 11 1-9

[8] Forman D(2019)Drug repurposing: progress, challenges and recommendations Nat Rev Drug Discov 18 41-8

[9] Bray F(2011)Adipocytes promote ovarian cancer metastasis and provide energy for rapid tumor growth Nat Med 17 1498-17

[10] Malta TM(2000)Identification of the messenger rna for human cutaneous fatty acid-binding protein as a metastasis inducer Cancer Res 60 2390-8

[1] Ferlay J(2015)Cancer incidence and mortality worldwide: sources, methods and major patterns in globocan 2012 Int J Cancer 136 359-86

[2] Soerjomataram I(2018)Machine learning identifies stemness features associated with oncogenic dedifferentiation Cell 173 338-54

[3] Dikshit R(2018)Machine learning detects pan-cancer ras pathway activation in the cancer genome atlas Cell Rep 23 172-80

[4] Eser S(2018)Spatial organization and molecular correlation of tumor-infiltrating lymphocytes using deep learning on pathology images Cell Rep 23 181-93

[5] Mathers C(2017)A stepwise integrated approach to personalized risk predictions in stage iii colorectal cancer Clin Cancer Res 23 1200-12

[6] Rebelo M(2017)Machine learning and docking models for mycobacterium tuberculosis topoisomerase i Tuberculosis 103 52-60

[7] Parkin DM(2019)An overview of scoring functions used for protein–ligand interactions in molecular docking Interdisc Sci Comput Life Sci 11 1-9

[8] Forman D(2019)Drug repurposing: progress, challenges and recommendations Nat Rev Drug Discov 18 41-8

[9] Bray F(2011)Adipocytes promote ovarian cancer metastasis and provide energy for rapid tumor growth Nat Med 17 1498-17

[10] Malta TM(2000)Identification of the messenger rna for human cutaneous fatty acid-binding protein as a metastasis inducer Cancer Res 60 2390-8