2-bromo-4-(2-chloro-benzyl)-6-hydroxymethylphenol | 1208884-75-6

• 分子结构分类: 有机化合物 - 苯类化合物 - 苯和取代衍生物
• 英文名称: 2-bromo-4-(2-chloro-benzyl)-6-hydroxymethylphenol
• 英文别名: BPR1K0368S0；2-Bromo-4-[(2-chlorophenyl)methyl]-6-(hydroxymethyl)phenol
• CAS: 1208884-75-6
• 化学式: C₁₄H₁₂BrClO₂
• 分子量: 327.605
• InChiKey: OGLJEUCSPHXZTL-UHFFFAOYSA-N

计算性质

• 辛醇/水分配系数(LogP)：
  4.5
• 重原子数：
  18
• 可旋转键数：
  3
• 环数：
  2.0
• sp3杂化的碳原子比例：
  0.14
• 拓扑面积：
  40.5
• 氢给体数：
  2
• 氢受体数：
  2

反应信息

• 作为反应物：
  描述：

  2-bromo-4-(2-chloro-benzyl)-6-hydroxymethylphenol 在 manganese(IV) oxide 作用下， 以 甲醇 、 乙醇 、 二氯甲烷 为溶剂， 反应 10.0h， 生成 furan-2-carboxylic acid (4-{[3-bromo-5-(2-chlorobenzyl)-2-hydroxybenzylidene]amino}phenyl)amide
  参考文献：
  名称：

  Ligand efficiency based approach for efficient virtual screening of compound libraries

  摘要：

  Here we report for the first time the use of fit quality (FQ), a ligand efficiency (LE) based measure for virtual screening (VS) of compound libraries. The LE based VS protocol was used to screen an in-house database of 125,000 compounds to identify aurora kinase A inhibitors. First, 20 known aurora kinase inhibitors were docked to aurora kinase A crystal structure (PDB ID: 2W1C); and the conformations of docked ligand were used to create a pharmacophore (PH) model. The PH model was used to screen the database compounds, and rank (PH rank) them based on the predicted IC50 values. Next, LE_Scale, a weight-dependant LE function, was derived from 294 known aurora kinase inhibitors. Using the fit quality (FQ = LE/LE_Scale) score derived from the LE_Scale function, the database compounds were reranked (PH_FQ rank) and the top 151 (0.12% of database) compounds were assessed for aurora kinase A inhibition biochemically. This VS protocol led to the identification of 7 novel hits, with compound 5 showing aurora kinase A IC50 = 1.29 μM. Furthermore, testing of 5 against a panel of 31 kinase reveals that it is selective toward aurora kinase A & B, with <50% inhibition for other kinases at 10 μM concentrations and is a suitable candidate for further development. Incorporation of FQ score in the VS protocol not only helped identify a novel aurora kinase inhibitor, 5, but also increased the hit rate of the VS protocol by improving the enrichment factor (EF) for FQ based screening (EF = 828), compared to PH based screening (EF = 237) alone. The LE based VS protocol disclosed here could be applied to other targets for hit identification in an efficient manner.

  DOI：

  10.1016/j.ejmech.2014.06.029
• 作为产物：
  描述：

  (2-Chlorophenyl)magnesium bromide 在 三乙基硅烷 、 lithium aluminium tetrahydride 、 三氟乙酸 作用下， 以 四氢呋喃 、 二氯甲烷 为溶剂， 反应 5.0h， 生成 2-bromo-4-(2-chloro-benzyl)-6-hydroxymethylphenol
  参考文献：
  名称：

  Ligand efficiency based approach for efficient virtual screening of compound libraries

  摘要：

  Here we report for the first time the use of fit quality (FQ), a ligand efficiency (LE) based measure for virtual screening (VS) of compound libraries. The LE based VS protocol was used to screen an in-house database of 125,000 compounds to identify aurora kinase A inhibitors. First, 20 known aurora kinase inhibitors were docked to aurora kinase A crystal structure (PDB ID: 2W1C); and the conformations of docked ligand were used to create a pharmacophore (PH) model. The PH model was used to screen the database compounds, and rank (PH rank) them based on the predicted IC50 values. Next, LE_Scale, a weight-dependant LE function, was derived from 294 known aurora kinase inhibitors. Using the fit quality (FQ = LE/LE_Scale) score derived from the LE_Scale function, the database compounds were reranked (PH_FQ rank) and the top 151 (0.12% of database) compounds were assessed for aurora kinase A inhibition biochemically. This VS protocol led to the identification of 7 novel hits, with compound 5 showing aurora kinase A IC50 = 1.29 μM. Furthermore, testing of 5 against a panel of 31 kinase reveals that it is selective toward aurora kinase A & B, with <50% inhibition for other kinases at 10 μM concentrations and is a suitable candidate for further development. Incorporation of FQ score in the VS protocol not only helped identify a novel aurora kinase inhibitor, 5, but also increased the hit rate of the VS protocol by improving the enrichment factor (EF) for FQ based screening (EF = 828), compared to PH based screening (EF = 237) alone. The LE based VS protocol disclosed here could be applied to other targets for hit identification in an efficient manner.

  DOI：

  10.1016/j.ejmech.2014.06.029

文献信息

• Ligand efficiency based approach for efficient virtual screening of compound libraries
  作者：Yi-Yu Ke、Mohane Selvaraj Coumar、Hui-Yi Shiao、Wen-Chieh Wang、Chieh-Wen Chen、Jen-Shin Song、Chun-Hwa Chen、Wen-Hsing Lin、Szu-Huei Wu、John T.A. Hsu、Chung-Ming Chang、Hsing-Pang Hsieh

  DOI：10.1016/j.ejmech.2014.06.029

  日期：2014.8

  Here we report for the first time the use of fit quality (FQ), a ligand efficiency (LE) based measure for virtual screening (VS) of compound libraries. The LE based VS protocol was used to screen an in-house database of 125,000 compounds to identify aurora kinase A inhibitors. First, 20 known aurora kinase inhibitors were docked to aurora kinase A crystal structure (PDB ID: 2W1C); and the conformations of docked ligand were used to create a pharmacophore (PH) model. The PH model was used to screen the database compounds, and rank (PH rank) them based on the predicted IC50 values. Next, LE_Scale, a weight-dependant LE function, was derived from 294 known aurora kinase inhibitors. Using the fit quality (FQ = LE/LE_Scale) score derived from the LE_Scale function, the database compounds were reranked (PH_FQ rank) and the top 151 (0.12% of database) compounds were assessed for aurora kinase A inhibition biochemically. This VS protocol led to the identification of 7 novel hits, with compound 5 showing aurora kinase A IC50 = 1.29 μM. Furthermore, testing of 5 against a panel of 31 kinase reveals that it is selective toward aurora kinase A & B, with <50% inhibition for other kinases at 10 μM concentrations and is a suitable candidate for further development. Incorporation of FQ score in the VS protocol not only helped identify a novel aurora kinase inhibitor, 5, but also increased the hit rate of the VS protocol by improving the enrichment factor (EF) for FQ based screening (EF = 828), compared to PH based screening (EF = 237) alone. The LE based VS protocol disclosed here could be applied to other targets for hit identification in an efficient manner.