• Title/Summary/Keyword: In silico Target Screening

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In silico High-Throughput Screening by Hierarchical Chemical DB Search by 3D Pharmacophore Model

  • Shin, Jae-Min
    • Proceedings of the PSK Conference
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    • 2002.10a
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    • pp.181-182
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    • 2002
  • Recentadvancesin '-omics ' technologies enable us to discover more diverse disease- relevant target proteins, which encourages us to find out more target-specific novel lead compounds as new drug candidates. Therefore, high-throughput screening (HTS) becomes an essential tool in this area. Among many HTS tools, in silico HTS is a very fast and cost-effective tool to try to derive a new lead compound for any new targets, especially when the target protein structures are known or readily modeled. (omitted)

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In Silico Screening of a Novel Inhibitor of β-Ketoacyl Acyl Carrier Protein Synthase I

  • Lee, Jee-Young;Jeong, Ki-Woong;Lee, Ju-Un;Kang, Dong-Il;Kim, Yang-Mee
    • Bulletin of the Korean Chemical Society
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    • v.32 no.5
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    • pp.1645-1649
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    • 2011
  • [ ${\beta}$ ]Ketoacyl acyl carrier protein synthase I (KAS I) is involved in the elongation of unsaturated fatty acids in bacterial fatty acid synthesis and a therapeutic target of designing novel antibiotics. In this study, we performed receptor-oriented pharmacophore-based in silico screening of E. coli KAS I (ecKAS I) with the aim of identifying novel inhibitors. We determined one pharmacophore map and selected 8 compounds as candidates ecKAS I inhibitors. We discovered one antimicrobial compound, YKAe1008, N-(3-pyridinyl) hexanamide, displaying minimal inhibitory concentration (MIC) values in the range of 128-256 ${\mu}g/mL$ against MRSA and VREF. YKAe1008 was subsequently assessed for binding to ecKAS I using saturation-transfer difference NMR spectroscopy. Further optimization of this compound will be carried out to improve its antimicrobial activity and membrane permeability against bacterial cell membrane.

Analysis of Chemical Constituents of Agastachis Herba and in silico Investigation on Antidiabetic Target Proteins of its Major Compounds (곽향의 성분 분석 및 주요 성분들의 in silico 항당뇨 타겟 단백질 탐색)

  • Choi, Jongkeun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.4
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    • pp.483-492
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    • 2021
  • Agastachis Herba (AH) to treat anorexia and nausea and its antidiabetic efficacy was recently reported. This study examined the antioxidant activities and chemical constituents of AH and predicted the target proteins of each compound using in silico approaches. The results showed that EC50 values of AH methanol extract for DPPH and ABTS radical scavenging were 78.6 ㎍/mL and 31.0 ㎍/mL, respectively. Compared to the EC50 values of ascorbic acid (9.9 ㎍/mL, 5.2 ㎍/mL), the AH methanol extract possessed excellent antioxidant activities. Rosmarinic acid, tilianin, agastachoside, and acetin were confirmed as the major compounds of extracts by qualitative analysis performed with HPLC-PDA-MS/MS. The antidiabetic target proteins of these compounds were predicted by applying a structural similarity and inverse docking methodology using a DIA-DB server. The resulting target proteins were PPAR-γ, DPP IV, glucokinase, α-glucosidase, SGLT2, aldose reductase, and corticosteroid 11-beta-dehydrogenase, some of which have already been proven experimentally as target proteins. Therefore, the in silico methods can be considered valid. Finally, AH were extracted with various solvents to determine the optimal conditions for the extraction of active components. Methanol among organic solvents and 80% ethanol in ethanol-water mixtures were identified as the most effective solvent for the extraction.

Drug Target Identification and Elucidation of Natural Inhibitors for Bordetella petrii: An In Silico Study

  • Rath, Surya Narayan;Ray, Manisha;Pattnaik, Animesh;Pradhan, Sukanta Kumar
    • Genomics & Informatics
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    • v.14 no.4
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    • pp.241-254
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    • 2016
  • Environmental microbes like Bordetella petrii has been established as a causative agent for various infectious diseases in human. Again, development of drug resistance in B. petrii challenged to combat against the infection. Identification of potential drug target and proposing a novel lead compound against the pathogen has a great aid and value. In this study, bioinformatics tools and technology have been applied to suggest a potential drug target by screening the proteome information of B. petrii DSM 12804 (accession No. PRJNA28135) from genome database of National Centre for Biotechnology information. In this regards, the inhibitory effect of nine natural compounds like ajoene (Allium sativum), allicin (A. sativum), cinnamaldehyde (Cinnamomum cassia), curcumin (Curcuma longa), gallotannin (active component of green tea and red wine), isoorientin (Anthopterus wardii), isovitexin (A. wardii), neral (Melissa officinalis), and vitexin (A. wardii) have been acknowledged with anti-bacterial properties and hence tested against identified drug target of B. petrii by implicating computational approach. The in silico studies revealed the hypothesis that lpxD could be a potential drug target and with recommendation of a strong inhibitory effect of selected natural compounds against infection caused due to B. petrii, would be further validated through in vitro experiments.

Chemogenomics Profiling of Drug Targets of Peptidoglycan Biosynthesis Pathway in Leptospira interrogans by Virtual Screening Approaches

  • Bhattacharjee, Biplab;Simon, Rose Mary;Gangadharaiah, Chaithra;Karunakar, Prashantha
    • Journal of Microbiology and Biotechnology
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    • v.23 no.6
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    • pp.779-784
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    • 2013
  • Leptospirosis is a worldwide zoonosis of global concern caused by Leptospira interrogans. The availability of ligand libraries has facilitated the search for novel drug targets using chemogenomics approaches, compared with the traditional method of drug discovery, which is time consuming and yields few leads with little intracellular information for guiding target selection. Recent subtractive genomics studies have revealed the putative drug targets in peptidoglycan biosynthesis pathways in Leptospira interrogans. Aligand library for the murD ligase enzyme in the peptidoglycan pathway has also been identified. Our approach in this research involves screening of the pre-existing ligand library of murD with related protein family members in the putative drug target assembly in the peptidoglycan biosynthesis pathway. A chemogenomics approach has been implemented here, which involves screening of known ligands of a protein family having analogous domain architecture for identification of leads for existing druggable protein family members. By means of this approach, one murC and one murF inhibitor were identified, providing a platform for developing an anti-leptospirosis drug targeting the peptidoglycan biosynthesis pathway. Given that the peptidoglycan biosynthesis pathway is exclusive to bacteria, the in silico identified mur ligase inhibitors are expected to be broad-spectrum Gram-negative inhibitors if synthesized and tested in in vitro and in vivo assays.

Sequence to Structure Approach of Estrogen Receptor Alpha and Ligand Interactions

  • Chamkasem, Aekkapot;Toniti, Waraphan
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.6
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    • pp.2161-2166
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    • 2015
  • Estrogen receptors (ERs) are steroid receptors located in the cytoplasm and on the nuclear membrane. The sequence similarities of human $ER{\alpha}$, mouse $ER{\alpha}$, rat $ER{\alpha}$, dog $ER{\alpha}$, and cat $ER{\alpha}$ are above 90%, but structures of $ER{\alpha}$ may different among species. Estrogen can be agonist and antagonist depending on its target organs. This hormone play roles in several diseases including breast cancer. There are variety of the relative binding affinity (RBA) of ER and estrogen species in comparison to $17{\beta}-estradiol$ (E2), which is a natural ligand of both $ER{\alpha}$ and $ER{\beta}$. The RBA of the estrogen species are as following: diethyl stilbestrol (DES) > hexestrol > dienestrol > $17{\beta}-estradiol$ (E2) > 17- estradiol > moxestrol > estriol (E3) >4-OH estradiol > estrone-3-sulfate. Estrogen mimetic drugs, selective estrogen receptor modulators (SERMs), have been used as hormonal therapy for ER positive breast cancer and postmenopausal osteoporosis. In the postgenomic era, in silico models have become effective tools for modern drug discovery. These provide three dimensional structures of many transmembrane receptors and enzymes, which are important targets of de novo drug development. The estimated inhibition constants (Ki) from computational model have been used as a screening procedure before in vitro and in vivo studies.

Binding Models of Flavonols to Human Vascular Endothelial Growth Factor Receptor 2

  • Lee, Jee-Young;Jeong, Ki-Woong;Kim, Woong-Hee;Heo, Yong-Seok;Kim, Yang-Mee
    • Bulletin of the Korean Chemical Society
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    • v.30 no.9
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    • pp.2083-2086
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    • 2009
  • Human vascular endothelial growth factor receptor 2 (hVEGFR2) is an important signaling protein involved in angiogenesis and attractive drug target in cancer therapy. It has been reported that flavonols, a class of flavonoids, have anti-angiogenic activity in various cancer cell lines. We performed receptor-oriented pharmacophore based in silico screening for identification of hVEGFR2 inhibitors from flavonol database. By comparing with three X-ray complex structures of hVEGFR2 and its inhibitors, we evaluated the specific interactions between inhibitors and receptors and determined a single pharmacophore map. This map consisted of four features, a hydrogen bonding acceptor (HBA) on Cys917, two hydrogen bonding donors on Glu917 (HBD1) and Glu883 (HBD2), and one hydrophobic interaction (Lipo) with Val846, Ala864, Val897, Val914 and Phe1045 of hVEGFR2. Using this map, we searched a flavonol database including 9 typical flavonols and proposed that five flavonols, kaempferol, quercetin, fisetin, morin, and rhamnetin can be potent inhibitors of hVEGFR2. 3-OH of C-ring and 4’-OH of B-ring of flavonols are the essential features for hVEGFR2 inhibition. This study will be helpful for understanding the mechanism of inhibition of hVEGFR2 by natural products.

Exploring the Potential of Natural Products as FoxO1 Inhibitors: an In Silico Approach

  • Anugya Gupta;Rajesh Haldhar;Vipul Agarwal;Dharmendra Singh Rajput;Kyung-Soo Chun;Sang Beom Han;Vinit Raj;Sangkil Lee
    • Biomolecules & Therapeutics
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    • v.32 no.3
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    • pp.390-398
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    • 2024
  • FoxO1, a member of the Forkhead transcription factor family subgroup O (FoxO), is expressed in a range of cell types and is crucial for various pathophysiological processes, such as apoptosis and inflammation. While FoxO1's roles in multiple diseases have been recognized, the target has remained largely unexplored due to the absence of cost-effective and efficient inhibitors. Therefore, there is a need for natural FoxO1 inhibitors with minimal adverse effects. In this study, docking, MMGBSA, and ADMET analyses were performed to identify natural compounds that exhibit strong binding affinity to FoxO1. The top candidates were then subjected to molecular dynamics (MD) simulations. A natural product library was screened for interaction with FoxO1 (PDB ID-3CO6) using the Glide module of the Schrödinger suite. In silico ADMET profiling was conducted using SwissADME and pkCSM web servers. Binding free energies of the selected compounds were assessed with the Prime-MMGBSA module, while the dynamics of the top hits were analyzed using the Desmond module of the Schrödinger suite. Several natural products demonstrated high docking scores with FoxO1, indicating their potential as FoxO1 inhibitors. Specifically, the docking scores of neochlorogenic acid and fraxin were both below -6.0. These compounds also exhibit favorable drug-like properties, and a 25 ns MD study revealed a stable interaction between fraxin and FoxO1. Our findings highlight the potential of various natural products, particularly fraxin, as effective FoxO1 inhibitors with strong binding affinity, dynamic stability, and suitable ADMET profiles.

Molecular docking study of nuciferine as a tyrosinase inhibitor and its therapeutic potential for hyperpigmentation

  • Veerabhuvaneshwari Veerichetty;Iswaryalakshmi Saravanabavan
    • Genomics & Informatics
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    • v.21 no.3
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    • pp.43.1-43.13
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    • 2023
  • Melanin is synthesized by tyrosinase to protect the skin from ultraviolet light. However, overproduction and accumulation of melanin can result in hyperpigmentation and skin melanoma. Tyrosinase inhibitors are commonly used in the treatment of hyperpigmentation. Natural tyrosinase inhibitors are often favoured over synthetic ones due to the potential side effects of the latter, which can include skin irritation, allergies, and other adverse reactions. Nuciferine, an alkaloid derived from Nelumbo nucifera, exhibits potent antioxidant and anti-proliferative properties. This study focused on the in silico screening of nuciferine for anti-tyrosinase activity, using kojic acid, ascorbic acid, and resorcinol as standards. The tyrosinase protein target was selected through homology modeling. The residues of the substrate binding pocket and active site pockets were identified for the purposes of grid box optimization and docking. Therefore, nuciferine is a potent natural tyrosinase inhibitor and shows promising potential for application in the treatment of hyperpigmentation and skin melanoma.

Identification of STAT5a Inhibitors for Breast Cancer Treatment Through In silico Approach

  • Bavya Chandrasekhar;Dona Samuel Karen;Veena Jaganivasan
    • Journal of Integrative Natural Science
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    • v.17 no.1
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    • pp.13-20
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    • 2024
  • Female breast cancer is the fifth highest cause of mortality. Breast cancer is the most prevalent type of cancer in women globally, while it can also affect men. STAT5A plays a role in its development and progression. Given that activation of STAT5a is frequently linked to the growth and progression of tumors, STAT5a has been identified as a possible target for the therapy of several cancers. STAT5A, in particular, has proven to be overexpressed in various breast cancer cell lines and tumors, and it has been associated to the promotion of tumour cell proliferation and survival. STAT5A inhibition has been shown in vitro and in vivo to reduce the development of breast cancer cells. As a result, we have screened compounds from the FDA database that might serve as potential inhibitors of STAT5a through virtual screening, docking, DFT and MD simulation approaches. The drug Nilotinib has shown promising results inhibiting STAT5a. Further, in-vitro analysis will be carried forward to understand the anti-cancer activity.