Discovery of Novel Fibroblast Growth Factor Receptor 1 Kinase Inhibitors by Structure-Based Virtual Screening

被引:56
|
作者
Ravindranathan, Krishna P. [1 ]
Mandiyan, Valsan [2 ]
Ekkati, Anil R. [1 ]
Bae, Jae H. [2 ]
Schlessinger, Joseph [2 ]
Jorgensen, William L. [1 ]
机构
[1] Yale Univ, Dept Chem, New Haven, CT 06520 USA
[2] Yale Univ, Sch Med, Dept Pharmacol, New Haven, CT 06520 USA
基金
美国国家卫生研究院;
关键词
HIV-1; REVERSE-TRANSCRIPTASE; BREAST-CARCINOMA CELLS; TYROSINE KINASE; THANATOPHORIC DYSPLASIA; CONSTITUTIVE ACTIVATION; TRANSMEMBRANE DOMAIN; BIOMOLECULAR SYSTEMS; SIGNAL-TRANSDUCTION; HUMAN ASTROCYTOMAS; CRYSTAL-STRUCTURE;
D O I
10.1021/jm901386e
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Fibroblast growth factors (FGFs) play important roles in embryonic development, angiogenesis, wound healing, and cell proliferation and differentiation. In search of inhibitors of FGFR1 kinase, 2.2 million compounds were docked into the ATP binding site of the protein. A co-crystal structure, which shows two alternative conformations for the nucleotide binding loop, is reported. Docking was performed oil both conformations and, ultimately, 23 diverse compounds were purchased and assayed. Following hit validation, two compounds 10 and 16, a benzylidene derivative of pseudothiohydantoin and a thienopyrimidinone derivative, respectively, were discovered that inhibit FGFR1 kinase with IC50 values of 23 and 50 mu M. Initial optimization of 16 led to the more unsaturated 40, which has significantly enhanced potency, 1.9 mu M. The core structures represent new structural motifs for FGFR1 kinase inhibitors. The study also illustrates complexities associated with the choice of protein structures for docking, possible use of multiple kinase structures to seek selectivity, and hit identification.
引用
收藏
页码:1662 / 1672
页数:11
相关论文
共 50 条
  • [11] Computational virtual screening and structure-based design of some epidermal growth factor receptor inhibitors
    Ibrahim, Muhammad Tukur
    Uzairu, Adamu
    Uba, Sani
    Shallangwa, Gideon Adamu
    FUTURE JOURNAL OF PHARMACEUTICAL SCIENCES, 2020, 6 (01)
  • [12] Computational virtual screening and structure-based design of some epidermal growth factor receptor inhibitors
    Muhammad Tukur Ibrahim
    Adamu Uzairu
    Sani Uba
    Gideon Adamu Shallangwa
    Future Journal of Pharmaceutical Sciences, 6
  • [13] Structure-based virtual screening of Src kinase inhibitors
    Lee, Kyungik
    Kim, Jongwoo
    Jeong, Ki-Woong
    Lee, Ki Won
    Lee, Yeonjoo
    Song, Ji Yeon
    Kim, Maeng Sup
    Lee, Gwan Sun
    Kim, Yangmee
    BIOORGANIC & MEDICINAL CHEMISTRY, 2009, 17 (08) : 3152 - 3161
  • [14] Discovery of a novel protein kinase B inhibitor by structure-based virtual screening
    Medina-Franco, Jose L.
    Giulianotti, Marc A.
    Yu, Yongping
    Shen, Liangliang
    Yao, Libo
    Singh, Narender
    BIOORGANIC & MEDICINAL CHEMISTRY LETTERS, 2009, 19 (16) : 4634 - 4638
  • [15] Discovery of Novel Tubulin Inhibitors via Structure-Based Hierarchical Virtual Screening
    Cao, Ran
    Liu, Minyu
    Yin, Min
    Liu, Quanhai
    Wang, Yanli
    Huang, Niu
    JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2012, 52 (10) : 2730 - 2740
  • [16] Discovery of novel choline acetyltransferase inhibitors using structure-based virtual screening
    Kumar, Rajnish
    Kumar, Amit
    Langstrom, Bengt
    Darreh-Shori, Taher
    SCIENTIFIC REPORTS, 2017, 7
  • [17] Discovery of novel choline acetyltransferase inhibitors using structure-based virtual screening
    Rajnish Kumar
    Amit Kumar
    Bengt Långström
    Taher Darreh-Shori
    Scientific Reports, 7
  • [18] Structure-based virtual screening approach to the discovery of novel PTPMT1 phosphatase inhibitors
    Park, Hwangseo
    Kim, Song Yi
    Kyung, Ayoung
    Yoon, Tae-sung
    Ryu, Seong Eon
    Jeong, Dae Gwin
    BIOORGANIC & MEDICINAL CHEMISTRY LETTERS, 2012, 22 (02) : 1271 - 1275
  • [19] Structure-Based Discovery of Potent Staphylococcus aureus Thymidylate Kinase Inhibitors by Virtual Screening
    Qureshi, Bakhtawer
    Khalil, Ruqaiya
    Saeed, Maria
    Nur-e-Alam, Mohammad
    Ahmed, Sarfaraz
    Ul-Haq, Zaheer
    MEDICINAL CHEMISTRY, 2023, 19 (01) : 75 - 90
  • [20] Discovery of Subtype Selective Janus Kinase (JAK) Inhibitors by Structure-Based Virtual Screening
    Bajusz, David
    Ferenczy, Gyoergy G.
    Keseru, Gyoergy M.
    JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2016, 56 (01) : 234 - 247