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  1. Article ; Online: Targeting Y220C mutated p53 by Foeniculum vulgare-derived phytochemicals as cancer therapeutics

    Garg, Saksham / Singh, Japneet / Verma, Smita Rastogi

    J Mol Model. 2023 Feb., v. 29, no. 2, p. 55

    2023  , Page(s) 55

    Abstract: CONTEXT: The mutations in the TP53 gene are the most frequent (50–60% of human cancer) genetic alterations in cancer cells, indicating the critical role of wild-type p53 in the regulation of cell proliferation and apoptosis upon oncogenic stress. Most ... ...

    Abstract CONTEXT: The mutations in the TP53 gene are the most frequent (50–60% of human cancer) genetic alterations in cancer cells, indicating the critical role of wild-type p53 in the regulation of cell proliferation and apoptosis upon oncogenic stress. Most missense mutations are clustered in the DNA-binding core domain, disrupting DNA binding ability. However, some mutations like Y220C occur outside the DNA binding domain and are associated with p53 structure destabilization. Overall, the results of these mutations are single amino acid substitutions in p53 and the production of dysfunctional p53 protein in large amounts, consequently allowing the escape of apoptosis and rapid progression of tumor growth. Thus, therapeutic targeting of mutant p53 in tumors to restore its wild-type tumor suppression activity has immense potential for translational cancer research. Various molecules have been discovered with modern scientific techniques to reactivate mutant p53 by reverting structural changes and/or DNA binding ability. These compounds include small molecules, various peptides, and phytochemicals. TP53 protein is long thought of as a potential target; however, its translation for therapeutic purposes is still in its infancy. The study comprehensively analyzed the therapeutic potential of small phytochemicals from Foeniculum vulgare (Fennel) with drug-likeness and capability to reactivate mutant p53 (Y220C) through molecular docking simulation. The docking study and the stable molecular dynamic simulations revealed juglalin (− 8.6 kcal/mol), retinol (− 9.14 kcal/mol), and 3-nitrofluoranthene (− 8.43 kcal/mol) significantly bind to the mutated site suggesting the possibility of drug designing against the Y220C mutp53. The study supports these compounds for further animal based in vivo and in vitro research to validate their efficacy. METHODS: For the purposes of drug repurposing, recently in-silico methods have presented with opportunity to rule out many compounds which have less probability to act as a drug based on their structural moiety and interaction with the target macromolecule. The study here utilizes molecular docking via Autodock 4.2.6 and molecular dynamics using Schrodinger 2021 to find potential therapeutic options which are capable to reactive the mutated TP53 protein.
    Keywords DNA ; Foeniculum vulgare ; amino acids ; apoptosis ; cell proliferation ; computer simulation ; drugs ; fennel ; genes ; humans ; models ; moieties ; molecular dynamics ; mutants ; neoplasms ; peptides ; phytochemicals ; probability ; therapeutics ; vitamin A
    Language English
    Dates of publication 2023-02
    Size p. 55
    Publishing place Springer Berlin Heidelberg
    Document type Article ; Online
    ZDB-ID 1284729-X
    ISSN 0948-5023 ; 1610-2940
    ISSN (online) 0948-5023
    ISSN 1610-2940
    DOI 10.1007/s00894-023-05454-2
    Database NAL-Catalogue (AGRICOLA)

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  2. Article ; Online: Targeting Y220C mutated p53 by Foeniculum vulgare-derived phytochemicals as cancer therapeutics.

    Garg, Saksham / Singh, Japneet / Verma, Smita Rastogi

    Journal of molecular modeling

    2023  Volume 29, Issue 2, Page(s) 55

    Abstract: Context: The mutations in the TP53 gene are the most frequent (50-60% of human cancer) genetic alterations in cancer cells, indicating the critical role of wild-type p53 in the regulation of cell proliferation and apoptosis upon oncogenic stress. Most ... ...

    Abstract Context: The mutations in the TP53 gene are the most frequent (50-60% of human cancer) genetic alterations in cancer cells, indicating the critical role of wild-type p53 in the regulation of cell proliferation and apoptosis upon oncogenic stress. Most missense mutations are clustered in the DNA-binding core domain, disrupting DNA binding ability. However, some mutations like Y220C occur outside the DNA binding domain and are associated with p53 structure destabilization. Overall, the results of these mutations are single amino acid substitutions in p53 and the production of dysfunctional p53 protein in large amounts, consequently allowing the escape of apoptosis and rapid progression of tumor growth. Thus, therapeutic targeting of mutant p53 in tumors to restore its wild-type tumor suppression activity has immense potential for translational cancer research. Various molecules have been discovered with modern scientific techniques to reactivate mutant p53 by reverting structural changes and/or DNA binding ability. These compounds include small molecules, various peptides, and phytochemicals. TP53 protein is long thought of as a potential target; however, its translation for therapeutic purposes is still in its infancy. The study comprehensively analyzed the therapeutic potential of small phytochemicals from Foeniculum vulgare (Fennel) with drug-likeness and capability to reactivate mutant p53 (Y220C) through molecular docking simulation. The docking study and the stable molecular dynamic simulations revealed juglalin (- 8.6 kcal/mol), retinol (- 9.14 kcal/mol), and 3-nitrofluoranthene (- 8.43 kcal/mol) significantly bind to the mutated site suggesting the possibility of drug designing against the Y220C mutp53. The study supports these compounds for further animal based in vivo and in vitro research to validate their efficacy.
    Methods: For the purposes of drug repurposing, recently in-silico methods have presented with opportunity to rule out many compounds which have less probability to act as a drug based on their structural moiety and interaction with the target macromolecule. The study here utilizes molecular docking via Autodock 4.2.6 and molecular dynamics using Schrodinger 2021 to find potential therapeutic options which are capable to reactive the mutated TP53 protein.
    MeSH term(s) Animals ; Humans ; Tumor Suppressor Protein p53/genetics ; Tumor Suppressor Protein p53/chemistry ; Tumor Suppressor Protein p53/metabolism ; Foeniculum/genetics ; Foeniculum/metabolism ; Genes, p53 ; Molecular Docking Simulation ; Neoplasms/drug therapy ; Neoplasms/genetics ; Neoplasms/pathology ; Mutation ; DNA
    Chemical Substances Tumor Suppressor Protein p53 ; DNA (9007-49-2)
    Language English
    Publishing date 2023-01-26
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1284729-X
    ISSN 0948-5023 ; 1610-2940
    ISSN (online) 0948-5023
    ISSN 1610-2940
    DOI 10.1007/s00894-023-05454-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Book ; Online: Generative models for sampling and phase transition indication in spin systems

    Singh, Japneet / Arora, Vipul / Gupta, Vinay / Scheurer, Mathias S.

    2020  

    Abstract: Recently, generative machine-learning models have gained popularity in physics, driven by the goal of improving the efficiency of Markov chain Monte Carlo techniques and of exploring their potential in capturing experimental data distributions. Motivated ...

    Abstract Recently, generative machine-learning models have gained popularity in physics, driven by the goal of improving the efficiency of Markov chain Monte Carlo techniques and of exploring their potential in capturing experimental data distributions. Motivated by their ability to generate images that look realistic to the human eye, we here study generative adversarial networks (GANs) as tools to learn the distribution of spin configurations and to generate samples, conditioned on external tuning parameters, such as temperature. We propose ways to efficiently represent the physical states, e.g., by exploiting symmetries, and to minimize the correlations between generated samples. We present a detailed evaluation of the various modifications, using the two-dimensional XY model as an example, and find considerable improvements in our proposed implicit generative model. It is also shown that the model can reliably generate samples in the vicinity of the phase transition, even when it has not been trained in the critical region. On top of using the samples generated by the model to capture the phase transition via evaluation of observables, we show how the model itself can be employed as an unsupervised indicator of transitions, by constructing measures of the model's susceptibility to changes in tuning parameters.

    Comment: 15 pages, 4 figures, 3 tables
    Keywords Condensed Matter - Statistical Mechanics ; Condensed Matter - Disordered Systems and Neural Networks
    Subject code 612
    Publishing date 2020-06-21
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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