共查询到20条相似文献,搜索用时 0 毫秒
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Nannan Zhou Yuan Xu Xian Liu Yulan Wang Jianlong Peng Xiaomin Luo Mingyue Zheng Kaixian Chen Hualiang Jiang 《International journal of molecular sciences》2015,16(6):13407-13426
The fibroblast growth factor/fibroblast growth factor receptor (FGF/FGFR) signaling pathway plays crucial roles in cell proliferation, angiogenesis, migration, and survival. Aberration in FGFRs correlates with several malignancies and disorders. FGFRs have proved to be attractive targets for therapeutic intervention in cancer, and it is of high interest to find FGFR inhibitors with novel scaffolds. In this study, a combinatorial three-dimensional quantitative structure-activity relationship (3D-QSAR) model was developed based on previously reported FGFR1 inhibitors with diverse structural skeletons. This model was evaluated for its prediction performance on a diverse test set containing 232 FGFR inhibitors, and it yielded a SD value of 0.75 pIC50 units from measured inhibition affinities and a Pearson’s correlation coefficient R2 of 0.53. This result suggests that the combinatorial 3D-QSAR model could be used to search for new FGFR1 hit structures and predict their potential activity. To further evaluate the performance of the model, a decoy set validation was used to measure the efficiency of the model by calculating EF (enrichment factor). Based on the combinatorial pharmacophore model, a virtual screening against SPECS database was performed. Nineteen novel active compounds were successfully identified, which provide new chemical starting points for further structural optimization of FGFR1 inhibitors. 相似文献
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Tiziano Tuccinardi Sabrina Taliani Marusca Bellandi Federico Da Settimo Eleonora Da Pozzo Claudia Martini Adriano Martinelli 《ChemMedChem》2009,4(10):1686-1694
In the present study, we considered various pharmacophore hypotheses for TSPO ligands and an optimal one was selected on the basis of 3D‐QSAR studies. This hypothesis was used in a ligand‐based virtual screening study on the Maybridge database with the aim of identifying new TSPO ligands. Binding assays revealed that all selected compounds displayed TSPO affinity at 10 μM , and among them two compounds exhibited sub‐micromolar Ki values. These results validated our applied methodologies, and the two compounds with sub‐micromolar affinity could be used as interesting leads for the development of new active TSPO ligands. 相似文献
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Dr. Alwin M. Hartman Dr. Varsha R. Jumde Dr. Walid A. M. Elgaher Dr. Evelien M. Te Poele Prof. Dr. Lubbert Dijkhuizen Prof. Dr. Anna K. H. Hirsch 《ChemMedChem》2021,16(1):113-123
We applied dynamic combinatorial chemistry (DCC) to find novel ligands of the bacterial virulence factor glucosyltransferase (GTF) 180. GTFs are the major producers of extracellular polysaccharides, which are important factors in the initiation and development of cariogenic dental biofilms. Following a structure-based strategy, we designed a series of 36 glucose- and maltose-based acylhydrazones as substrate mimics. Synthesis of the required mono- and disaccharide-based aldehydes set the stage for DCC experiments. Analysis of the dynamic combinatorial libraries (DCLs) by UPLC-MS revealed major amplification of four compounds in the presence of GTF180. Moreover, we found that derivatives of the glucose-acceptor maltose at the C1-hydroxy group act as glucose-donors and are cleaved by GTF180. The synthesized hits display medium to low binding affinity (KD values of 0.4–10.0 mm ) according to surface plasmon resonance. In addition, they were investigated for inhibitory activity in GTF-activity assays. The early-stage DCC study reveals that careful design of DCLs opens up easy access to a broad class of novel compounds that can be developed further as potential inhibitors. 相似文献
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Huiding Xie Lijun Chen Jianqiang Zhang Xiaoguang Xie Kaixiong Qiu Jijun Fu 《International journal of molecular sciences》2015,16(6):12307-12323
B-Raf kinase is an important target in treatment of cancers. In order to design and find potent B-Raf inhibitors (BRIs), 3D pharmacophore models were created using the Genetic Algorithm with Linear Assignment of Hypermolecular Alignment of Database (GALAHAD). The best pharmacophore model obtained which was used in effective alignment of the data set contains two acceptor atoms, three donor atoms and three hydrophobes. In succession, comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) were performed on 39 imidazopyridine BRIs to build three dimensional quantitative structure-activity relationship (3D QSAR) models based on both pharmacophore and docking alignments. The CoMSIA model based on the pharmacophore alignment shows the best result (q2 = 0.621, r2pred = 0.885). This 3D QSAR approach provides significant insights that are useful for designing potent BRIs. In addition, the obtained best pharmacophore model was used for virtual screening against the NCI2000 database. The hit compounds were further filtered with molecular docking, and their biological activities were predicted using the CoMSIA model, and three potential BRIs with new skeletons were obtained. 相似文献
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Structure-based virtual screening (SBVS), also known as molecular docking, has been increasingly applied to discover small-molecule ligands based on the protein structures in the early stage of drug discovery. In this review, we comprehensively surveyed the prospective applications of molecular docking judged by solid experimental validations in the literature over the past fifteen years. Herein, we systematically analyzed the novelty of the targets and the docking hits, practical protocols of docking screening, and the following experimental validations. Among the 419 case studies we reviewed, most virtual screenings were carried out on widely studied targets, and only 22% were on less-explored new targets. Regarding docking software, GLIDE is the most popular one used in molecular docking, while the DOCK 3 series showed a strong capacity for large-scale virtual screening. Besides, the majority of identified hits are promising in structural novelty and one-quarter of the hits showed better potency than 1 μM, indicating that the primary advantage of SBVS is to discover new chemotypes rather than highly potent compounds. Furthermore, in most studies, only in vitro bioassays were carried out to validate the docking hits, which might limit the further characterization and development of the identified active compounds. Finally, several successful stories of SBVS with extensive experimental validations have been highlighted, which provide unique insights into future SBVS drug discovery campaigns. 相似文献
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Prospective Virtual Screening in a Sparse Data Scenario: Design of Small‐Molecule TLR2 Antagonists
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Manuela S. Murgueitio Prof. Dr. Philipp Henneke Prof. Dr. Hartmut Glossmann Dr. Sandra Santos‐Sierra Prof. Dr. Gerhard Wolber 《ChemMedChem》2014,9(4):813-822
Toll‐like receptors (TLRs) are critical signaling molecules with roles in various severe clinical conditions such as sepsis and rheumatoid arthritis, and have therefore been advocated as promising drug targets for the treatment of these diseases. The aim of this study was to discover small‐molecule antagonists of TLR2 by computer‐aided drug design. This goal poses several challenges due to the lack of available data on TLR2 modulators. To overcome these hurdles we developed a combined structure‐ and ligand‐based virtual screening approach. First, we calculated molecular interaction fields of the TLR2 binding site to derive a structure‐based 3D pharmacophore, which was then used for virtual screening. We then performed a two‐step shape‐ and feature‐based similarity search using known TLR2 ligands as query structures. A selection of virtual screening hits was biologically tested in a cell‐based assay for TLR2 signaling inhibition, leading to the identification of several compounds with antagonistic activity (IC50 values) in the low‐micromolar range. 相似文献
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Ralf Heinke Astrid Spannhoff Dr. Rene Meier Patrick Trojer Dr. Ingo Bauer Dr. Manfred Jung Prof. Dr. Wolfgang Sippl Prof. Dr. 《ChemMedChem》2009,4(1):69-77
Lysine and arginine methyltransferases participate in the posttranslational modification of histones and regulate key cellular functions. Protein arginine methyltransferase 1 (PRMT1) has been identified as an essential component of mixed lineage leukemia (MLL) oncogenic complexes, revealing its potential as a novel therapeutic target in human cancer. The first potent arginine methyltransferase inhibitors were recently discovered by random‐ and target‐based screening approaches. Herein we report virtual and biological screening for novel inhibitors of PRMT1. Structure‐based virtual screening (VS) of the Chembridge database composed of 328 000 molecules was performed with a combination of ligand‐ and target‐based in silico approaches. Nine inhibitors were identified from the top‐scored docking solutions; these were experimentally tested using human PRMT1 and an antibody‐based assay with a time‐resolved fluorescence readout. Among several aromatic amines, an aliphatic amine and an amide were also found to be active in the micromolar range. 相似文献
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Huiding Xie Kaixiong Qiu Xiaoguang Xie 《International journal of molecular sciences》2014,15(11):20927-20947
Aromatase inhibitors are the most important targets in treatment of estrogen-dependent cancers. In order to search for potent steroidal aromatase inhibitors (SAIs) with lower side effects and overcome cellular resistance, comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) were performed on a series of SAIs to build 3D QSAR models. The reliable and predictive CoMFA and CoMSIA models were obtained with statistical results (CoMFA: q2 = 0.636, r2ncv = 0.988, r2pred = 0.658; CoMSIA: q2 = 0.843, r2ncv = 0.989, r2pred = 0.601). This 3D QSAR approach provides significant insights that can be used to develop novel and potent SAIs. In addition, Genetic algorithm with linear assignment of hypermolecular alignment of database (GALAHAD) was used to derive 3D pharmacophore models. The selected pharmacophore model contains two acceptor atoms and four hydrophobic centers, which was used as a 3D query for virtual screening against NCI2000 database. Six hit compounds were obtained and their biological activities were further predicted by the CoMFA and CoMSIA models, which are expected to design potent and novel SAIs. 相似文献
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