title: Identification of Dual Natural Inhibitors for Chronic Myeloid Leukemia by Virtual Screening, Molecular Dynamics Simulation and ADMET Analysis.
abstract: Chronic myeloid leukemia (CML) is a disease of bone marrow stem cells caused by excessive growth and accumulation of granulocytes in the blood. Aberrant expression of the BCR-ABL proteins in bone marrow stem cells have found out in 95 % cases of CML. Tyrosine Kinase domains (SH2 and SH3) of BCR-ABL proteins are the potent targets to inhibit the process. Initially, imatinib is preferred as an efficient inhibitor to control functional activity of disease. Recently, it has been reported that the advanced stage of CML developed resistance against imatinib. In continuation, dasatinib is the first drug to combat against this disease by targeting multiple receptors and proven better as compared to imatinib. Here, an attempt has been made to identify similar analogs of dasatinib. Virtual screening was performed against various natural compound databases to get some potent natural compounds which are able to inhibit more than one receptor. Binding affinity of screened natural compounds was compared with some of the well-known inhibitors like imatinib, dasatinib, nilotinib etc., by analyzing their docking score and binding efficiency with the receptor. Stability of the best ligand-receptor complex was checked by performing 10 ns molecular dynamics simulation. ADMET properties of the obtained screened compounds were analyzed to check drug like property. Based on the aforementioned analysis, it has been suggested that these screened potent compounds are capable to inhibit multiple receptor proteins like ABL and SRC and consequently combat against the deadly disease CML.
authors: Indian Institute of Information Technology Allahabad, Allahabad, UP, 211012, India.
authors: Himansu
authors: H
authors: Kumar
authors: Indian Institute of Information Technology Allahabad, Allahabad, UP, 211012, India.
authors: Utkarsh
authors: U
authors: Raj
authors: Lovely Professional University, Jalandhar, Punjab, 144411, India.
authors: Swati
authors: S
authors: Srivastava
authors: Indian Institute of Information Technology Allahabad, Allahabad, UP, 211012, India.
authors: Saurabh
authors: S
authors: Gupta
authors: Indian Institute of Information Technology Allahabad, Allahabad, UP, 211012, India. pritish@iiita.ac.in.
authors: Pritish K
authors: PK
authors: Varadwaj
mesh_terms: D000818:Animals; D000970:Antineoplastic Agents / Q000737:chemistry / Q000627:therapeutic use*; D019295:Computational Biology / Q000379:methods*; D000069439:Dasatinib / Q000737:chemistry / Q000627:therapeutic use; D006801:Humans; D000068877:Imatinib Mesylate / Q000737:chemistry / Q000627:therapeutic use; D007951:Leukemia, Myeloid / Q000188:drug therapy*; D056004:Molecular Dynamics Simulation
chemical_list: D000970:Antineoplastic Agents; D000068877:Imatinib Mesylate; D000069439:Dasatinib
keywords: ABL; ADMET; Dasatinib; Imatinib; SRC