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Insilico Docking Studies on Anticancer Drugs for Breast Cancer

机译:乳腺癌抗癌药物的对接研究

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Cancer can be described as the uncontrolled growth of abnormal cells. Breast cancer is the second most common type of cancer after lung cancer. Normal breast cells and most breast cancer cells have receptors that attach to circulating estrogen and progesterone. Estrogen and progesterone bind to the receptors and may work with growth factors (e.g., oncogenes and mutated tumor suppressor genes) to cause cancer cell growth and proliferation. Some of the most commonly used breast cancer drugs are Tamoxifen, Raloxifene, Toremifene etc, breast cancer cells need estrogen to grow. These drugs mainly work against the effects of estrogenon these cells. The Protein- Ligand interaction plays a significant role in structural based drug designing. In our research work we have taken the Human estrogen receptor and the commercially available drugs against breast cancer. The receptor was docked to the above said drugs and the energy value obtained as follows Tamoxifen (-49.0), Raloxifene (-158.0), Toremifene (-108.0) using the HEX docking software. Depending on the energy values we have chosen the best two drugs they are Raloxifene and Toremifene. We tried to improve the binding efficiency and steric compatibility of the two drugs namely Raloxifene and Toremifene. Several modifications were made to the probable functional groups which were interacting with the receptor molecule. Analogs of this drug molecule were prepared using ACD ChemSketch and docked using Hex docking software. Raloxifene Analog 7 and Toremifene analog 6 were detected with significant energy values and probable lead molecules. The Modified drugs was sketched using Chemsketch were found to be better than the conventional drugs available. Further from this work we can improve the steric compatibility and then ADME/T properties of the Analogs can be analyzed using Insilico ADME/T tools available.
机译:癌症可以描述为异常细胞的失控生长。乳腺癌是仅次于肺癌的第二大最常见的癌症类型。正常的乳腺癌细胞和大多数乳腺癌细胞具有与循环雌激素和孕激素结合的受体。雌激素和孕激素与受体结合,并可能与生长因子(例如癌基因和突变的抑癌基因)协同作用,从而导致癌细胞的生长和增殖。一些最常用的乳腺癌药物是他莫昔芬,雷洛昔芬,托瑞米芬等,乳腺癌细胞需要雌激素才能生长。这些药物主要作用于雌激素对这些细胞的作用。蛋白质-配体相互作用在基于结构的药物设计中起重要作用。在我们的研究工作中,我们服用了人类雌激素受体和市售的抗乳腺癌药物。使用HEX对接软件,将受体对接至上述药物,并获得如下的能量值:他莫昔芬(-49.0),雷洛昔芬(-158.0),托瑞米芬(-108.0)。根据能量值,我们选择了最好的两种药物雷洛昔芬和托瑞米芬。我们试图提高两种药物即雷洛昔芬和托瑞米芬的结合效率和空间相容性。对与受体分子相互作用的可能的官能团进行了几种修饰。使用ACD ChemSketch制备该药物分子的类似物,并使用Hex对接软件对接。检测到雷洛昔芬类似物7和托瑞米芬类似物6具有明显的能量值和可能的铅分子。发现使用Chemsketch绘制的改性药物比可用的常规药物更好。通过这项工作,我们可以改善空间兼容性,然后可以使用可用的Insilico ADME / T工具分析类似物的ADME / T特性。

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