• Title/Summary/Keyword: Molecular target drug

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In - Silico approach and validation of JNK1 Inhibitors for Colon Rectal Cancer Target

  • Bavya, Chandrasekhar;Thirumurthy, Madhavan
    • Journal of Integrative Natural Science
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    • v.15 no.4
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    • pp.145-152
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    • 2022
  • Colon rectal cancer is one of the frequently diagnosed cancers worldwide. In recent times the drug discovery for colon cancer is challenging because of their speedy metastasis and morality of these patients. C-jun N-terminal kinase signaling pathway controls the cell cycle survival and apoptosis. Evidence has shown that JNK1 promotes the tumor progression in various types of cancers like colon cancer, breast cancer and lung cancer. Recent study has shown that inhibiting, JNK1 pathway is identified as one of the important cascades in drug discovery. One of the recent approaches in the field of drug discovery is drug repurposing. In drug repurposing approach we have virtually screened ChEMBL dataset against JNK1 protein and their interactions have been studied through Molecular docking. Cross docking was performed with the top compounds to be more specific with JNK1 comparing the affinity with JNK2 and JNK3.The drugs which exhibited higher binding were subjected to Conceptual - Density functional theory. The results showed mainly Entrectinib and Exatecan showed better binding to the target.

Computer-Aided Drug Discovery in Plant Pathology

  • Shanmugam, Gnanendra;Jeon, Junhyun
    • The Plant Pathology Journal
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    • v.33 no.6
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    • pp.529-542
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    • 2017
  • Control of plant diseases is largely dependent on use of agrochemicals. However, there are widening gaps between our knowledge on plant diseases gained from genetic/mechanistic studies and rapid translation of the knowledge into target-oriented development of effective agrochemicals. Here we propose that the time is ripe for computer-aided drug discovery/design (CADD) in molecular plant pathology. CADD has played a pivotal role in development of medically important molecules over the last three decades. Now, explosive increase in information on genome sequences and three dimensional structures of biological molecules, in combination with advances in computational and informational technologies, opens up exciting possibilities for application of CADD in discovery and development of agrochemicals. In this review, we outline two categories of the drug discovery strategies: structure- and ligand-based CADD, and relevant computational approaches that are being employed in modern drug discovery. In order to help readers to dive into CADD, we explain concepts of homology modelling, molecular docking, virtual screening, and de novo ligand design in structure-based CADD, and pharmacophore modelling, ligand-based virtual screening, quantitative structure activity relationship modelling and de novo ligand design for ligand-based CADD. We also provide the important resources available to carry out CADD. Finally, we present a case study showing how CADD approach can be implemented in reality for identification of potent chemical compounds against the important plant pathogens, Pseudomonas syringae and Colletotrichum gloeosporioides.

Drug resistance of bladder cancer cells through activation of ABCG2 by FOXM1

  • Roh, Yun-Gil;Mun, Mi-Hye;Jeong, Mi-So;Kim, Won-Tae;Lee, Se-Ra;Chung, Jin-Woong;Kim, Seung Il;Kim, Tae Nam;Nam, Jong Kil;Leem, Sun-Hee
    • BMB Reports
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    • v.51 no.2
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    • pp.98-103
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    • 2018
  • Recurrence is a serious problem in patients with bladder cancer. The hypothesis for recurrence was that the proliferation of drug-resistant cells was reported, and this study focused on drug resistance due to drug efflux. Previous studies have identified FOXM1 as the key gene for recurrence. We found that FOXM1 inhibition decreased drug efflux activity and increased sensitivity to Doxorubicin. Therefore, we examined whether the expression of ABC transporter gene related to drug efflux is regulated by FOXM1. As a result, ABCG2, one of the genes involved in drug efflux, has been identified as a new target for FOXM1. We also demonstrated direct transcriptional regulation of ABCG2 by FOXM1 using ChIP assay. Consequently, in the presence of the drug, FOXM1 is proposed to directly activate ABCG2 to increase the drug efflux activation and drug resistance, thereby involving chemoresistance of bladder cancer cells. Therefore, we suggest that FOXM1 and ABCG2 may be useful targets and important parameters in the treatment of bladder cancer.

Brain somatic mutations in MTOR leading to focal cortical dysplasia

  • Lim, Jae Seok;Lee, Jeong Ho
    • BMB Reports
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    • v.49 no.2
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    • pp.71-72
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    • 2016
  • Focal cortical dysplasia type II (FCDII) is a focal malformation of the developing cerebral cortex and the major cause of intractable epilepsy. However, since the molecular genetic etiology of FCD has remained enigmatic, the effective therapeutic target for this condition has remained poorly understood. Our recent study on FCD utilizing various deep sequencing platforms identified somatic mutations in MTOR (existing as low as 1% allelic frequency) only in the affected brain tissues. We observed that these mutations induced hyperactivation of the mTOR kinase. In addition, focal cortical expression of mutant MTOR using in utero electroporation in mice, recapitulated the neuropathological features of FCDII, such as migration defect, cytomegalic neuron and spontaneous seizures. Furthermore, seizures and dysmorphic neurons were rescued by the administration of mTOR inhibitor, rapamycin. This study provides the first evidence that brain somatic activating mutations in MTOR cause FCD, and suggests the potential drug target for intractable epilepsy in FCD patients.

Clinical Application of Gold Nanoparticles for Diagnosis and Treatment

  • Baek, Seung-Kuk
    • Medical Lasers
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    • v.10 no.2
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    • pp.61-67
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    • 2021
  • Advances in nanobiotechnology have presented numerous possibilities of more effective diagnostic and therapeutic options. In particular, gold nanoparticles have demonstrated the potential for application in molecular imaging and treatment of cancers, including drug delivery system of certain target molecules, enhancement of radiation therapy, and photothermal treatment. This review discusses the properties, mechanism of action, and clinical application of gold nanoparticles. Although the safety of nanoparticles is yet to be ascertained, there is no doubt that in the future, nanotechnology will play an important role in the development and enhancement of a wide range of diagnostic and treatment modalities.

Integrative applications of network pharmacology and molecular docking: An herbal formula ameliorates H9c2 cells injury through pyroptosis

  • Zhongwen Qi;Zhipeng Yan;Yueyao Wang;Nan Ji;Xiaoya Yang;Ao Zhang;Meng Li;Fengqin Xu;Junping Zhang
    • Journal of Ginseng Research
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    • v.47 no.2
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    • pp.228-236
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    • 2023
  • Background: QiShen YiQi pills (QSYQ) is a Traditional Chinese Medicine (TCM) formula, which has a significant effect on the treatment of patients with myocardial infarction (MI) in clinical practice. However, the molecular mechanism of QSYQ regulation pyroptosis after MI is still not fully known. Hence, this study was designed to reveal the mechanism of the active ingredient in QSYQ. Methods: Integrated approach of network pharmacology and molecular docking, were conducted to screen active components and corresponding common target genes of QSYQ in intervening pyroptosis after MI. Subsequently, STRING and Cytoscape were applied to construct a PPI network, and obtain candidate active compounds. Molecular docking was performed to verify the binding ability of candidate components to pyroptosis proteins and oxygen-glucose deprivation (OGD) induced cardiomyocytes injuries were applied to explore the protective effect and mechanism of the candidate drug. Results: Two drug-likeness compounds were preliminarily selected, and the binding capacity between Ginsenoside Rh2 (Rh2) and key target High Mobility Group Box 1 (HMGB1)was validated in the form of hydrogen bonding. 2 μM Rh2 prevented OGD-induced H9c2 death and reduced IL-18 and IL-1β levels, possibly by decreasing the activation of the NLRP3 inflammasome, inhibiting the expression of p12-caspase1, and attenuating the level of pyroptosis executive protein GSDMD-N. Conclusions: We propose that Rh2 of QSYQ can protect myocardial cells partially by ameliorating pyroptosis, which seems to have a new insight regarding the therapeutic potential for MI.

Comparative Modeling Studies of 1-deoxy-D-xylulose 5-phosphate Synthase (MEP pathway) from Mycobacterium Tuberculosis

  • Kothandan, Gugan
    • Journal of Integrative Natural Science
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    • v.4 no.3
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    • pp.202-209
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    • 2011
  • Tuberculosis is a major health problem in humans because of its multidrug resistance and discovering new treatments for this disease is urgently required. The synthesis of isoprenoids in Mycobacterium tuberculosis has been reported as an interesting pathway to target. In this context, 2C-methyl-D-erythritol 4-phosphate (MEP) pathway of M. tuberculosis has drawn attention. The MEP pathway begins with the condensation of glyceraldehyde 3-phosphate and pyruvate forming 1-deoxy-D-xylulose 5-phosphate (DXP) which is catalyzed by 1-deoxy-D-xylulose 5-phosphate synthase (DXS). As there is no X-ray structure was reported for this target, comparative modeling was used to generate the three dimensional structure. The structure was further validated by PROCHECK, VERIFY-3D, PROSA, ERRAT and WHATIF. Molecular docking studies was performed with the substrate (Thiamine pyrophosphate) and the reported inhibitor 2-methyl-3-(4-fluorophenyl)-5-(4-methoxy-phenyl)-4H-pyrazolol[1,5-a]pyrimidin-7-one) against the developed model to identify the crucial residues in the active site. This study may further be useful to provide structure based drug design.

Multi-epitope vaccine against drug-resistant strains of Mycobacterium tuberculosis: a proteome-wide subtraction and immunoinformatics approach

  • Md Tahsin Khan;Araf Mahmud;Md. Muzahidul Islam;Mst. Sayedatun Nessa Sumaia;Zeaur Rahim;Kamrul Islam;Asif Iqbal
    • Genomics & Informatics
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    • v.21 no.3
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    • pp.42.1-42.23
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    • 2023
  • Mycobacterium tuberculosis (Mtb) is the causative agent of tuberculosis, one of the most deadly infections in humans. The emergence of multidrug-resistant and extensively drug-resistant Mtb strains presents a global challenge. Mtb has shown resistance to many frontline antibiotics, including rifampicin, kanamycin, isoniazid, and capreomycin. The only licensed vaccine, Bacille Calmette-Guerin, does not efficiently protect against adult pulmonary tuberculosis. Therefore, it is urgently necessary to develop new vaccines to prevent infections caused by these strains. We used a subtractive proteomics approach on 23 virulent Mtb strains and identified a conserved membrane protein (MmpL4, NP_214964.1) as both a potential drug target and vaccine candidate. MmpL4 is a non-homologous essential protein in the host and is involved in the pathogen-specific pathway. Furthermore, MmpL4 shows no homology with anti-targets and has limited homology to human gut microflora, potentially reducing the likelihood of adverse effects and cross-reactivity if therapeutics specific to this protein are developed. Subsequently, we constructed a highly soluble, safe, antigenic, and stable multi-subunit vaccine from the MmpL4 protein using immunoinformatics. Molecular dynamics simulations revealed the stability of the vaccine-bound Tolllike receptor-4 complex on a nanosecond scale, and immune simulations indicated strong primary and secondary immune responses in the host. Therefore, our study identifies a new target that could expedite the design of effective therapeutics, and the designed vaccine should be validated. Future directions include an extensive molecular interaction analysis, in silico cloning, wet-lab experiments, and evaluation and comparison of the designed candidate as both a DNA vaccine and protein vaccine.

Human-yeast genetic interaction for disease network: systematic discovery of multiple drug targets

  • Suk, Kyoungho
    • BMB Reports
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    • v.50 no.11
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    • pp.535-536
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    • 2017
  • A novel approach has been used to identify functional interactions relevant to human disease. Using high-throughput human-yeast genetic interaction screens, a first draft of disease interactome was obtained. This was achieved by first searching for candidate human disease genes that confer toxicity in yeast, and second, identifying modulators of toxicity. This study found potentially disease-relevant interactions by analyzing the network of functional interactions and focusing on genes implicated in amyotrophic lateral sclerosis (ALS), for example. In the subsequent proof-of-concept study focused on ALS, similar functional relationships between a specific kinase and ALS-associated genes were observed in mammalian cells and zebrafish, supporting findings in human-yeast genetic interaction screens. Results of combined analyses highlighted MAP2K5 kinase as a potential therapeutic target in ALS.

iPSC technology-Powerful hand for disease modeling and therapeutic screen

  • Kim, Changsung
    • BMB Reports
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    • v.48 no.5
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    • pp.256-265
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    • 2015
  • Cardiovascular and neurodegenerative diseases are major health threats in many developed countries. Recently, target tissues derived from human embryonic stem (hES) cells and induced pluripotent stem cells (iPSCs), such as cardiomyocytes (CMs) or neurons, have been actively mobilized for drug screening. Knowledge of drug toxicity and efficacy obtained using stem cell-derived tissues could parallel that obtained from human trials. Furthermore, iPSC disease models could be advantageous in the development of personalized medicine in various parts of disease sectors. To obtain the maximum benefit from iPSCs in disease modeling, researchers are now focusing on aging, maturation, and metabolism to recapitulate the pathological features seen in patients. Compared to pediatric disease modeling, adult-onset disease modeling with iPSCs requires proper maturation for full manifestation of pathological features. Herein, the success of iPSC technology, focusing on patient-specific drug treatment, maturation-based disease modeling, and alternative approaches to compensate for the current limitations of patient iPSC modeling, will be further discussed. [BMB Reports 2015; 48(5): 256-265]