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  1. Article ; Online: ATP-Bound State of the Uncoupling Protein 1 (UCP1) from Molecular Simulations.

    Jacobsen, Luise / Lydersen, Laura / Khandelia, Himanshu

    The journal of physical chemistry. B

    2023  Volume 127, Issue 45, Page(s) 9685–9696

    Abstract: The uncoupling protein 1 (UCP1) dissipates the transmembrane (TM) proton gradient in the inner mitochondrial membrane (IMM) by leaking protons across the membrane and producing heat in the process. Such a nonshivering production of heat in the brown ... ...

    Abstract The uncoupling protein 1 (UCP1) dissipates the transmembrane (TM) proton gradient in the inner mitochondrial membrane (IMM) by leaking protons across the membrane and producing heat in the process. Such a nonshivering production of heat in the brown adipose tissue can combat obesity-related diseases. UCP1-associated proton leak is activated by free fatty acids and inhibited by purine nucleotides. The mechanism of proton leak and the binding sites of the activators (fatty acids) remain unknown, while the binding site of the inhibitors (nucleotides) was described recently. Using molecular dynamics simulations, we generated a conformational ensemble of UCP1. Using metadynamics-based free energy calculations, we obtained the most likely ATP-bound conformation of UCP1. Our conformational ensemble provides a molecular basis for a breadth of prior biochemical data available for UCP1. Based on the simulations, we make the following testable predictions about the mechanisms of activation of proton leak and proton leak inhibition by ATP: (1) R277 plays the dual role of stabilizing ATP at the binding site for inhibition and acting as a proton surrogate for D28 in the absence of a proton during proton transport, (2) the binding of ATP to UCP1 is mediated by residues R84, R92, R183, and S88, (3) R92 shuttles ATP from the E191-R92 gate in the intermembrane space to the nucleotide binding site and serves to increase ATP affinity, (4) ATP can inhibit proton leak by controlling the ionization states of matrix facing lysine residues such as K269 and K56, and (5) fatty acids can bind to UCP1 from the IMM either via the cavity between TM1 and TM2 or between TM5 and TM6. Our simulations set the platform for future investigations into the proton transport and inhibition mechanisms of UCP1.
    MeSH term(s) Ion Channels/chemistry ; Uncoupling Protein 1/metabolism ; Protons ; Mitochondrial Proteins/chemistry ; Fatty Acids/metabolism ; Nucleotides/metabolism ; Adenosine Triphosphate
    Chemical Substances Ion Channels ; Uncoupling Protein 1 ; Protons ; Mitochondrial Proteins ; Fatty Acids ; Nucleotides ; Adenosine Triphosphate (8L70Q75FXE)
    Language English
    Publishing date 2023-11-03
    Publishing country United States
    Document type Journal Article
    ISSN 1520-5207
    ISSN (online) 1520-5207
    DOI 10.1021/acs.jpcb.3c03473
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Inhibition Mechanism of Antimalarial Drugs Targeting the Cytochrome bc

    Jacobsen, Luise / Husen, Peter / Solov'yov, Ilia A

    Journal of chemical information and modeling

    2021  Volume 61, Issue 3, Page(s) 1334–1345

    Abstract: Plasmodium ... ...

    Abstract Plasmodium falciparum
    Language English
    Publishing date 2021-02-22
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 190019-5
    ISSN 1549-960X ; 0095-2338
    ISSN (online) 1549-960X
    ISSN 0095-2338
    DOI 10.1021/acs.jcim.0c01148
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Introducing the Automated Ligand Searcher.

    Jacobsen, Luise / Hungerland, Jonathan / Bačić, Vladimir / Gerhards, Luca / Schuhmann, Fabian / Solov'yov, Ilia A

    Journal of chemical information and modeling

    2023  Volume 63, Issue 23, Page(s) 7518–7528

    Abstract: The Automated Ligand Searcher (ALISE) is designed as an automated computational drug discovery tool. To approximate the binding free energy of ligands to a receptor, ALISE includes a three-stage workflow, with each stage involving an increasingly ... ...

    Abstract The Automated Ligand Searcher (ALISE) is designed as an automated computational drug discovery tool. To approximate the binding free energy of ligands to a receptor, ALISE includes a three-stage workflow, with each stage involving an increasingly sophisticated computational method: molecular docking, molecular dynamics, and free energy perturbation, respectively. To narrow the number of potential ligands, poorly performing ligands are gradually segregated out. The performance and usability of ALISE are benchmarked for a case study containing known active ligands and decoys for the HIV protease. The example illustrates that ALISE filters the decoys successfully and demonstrates that the automation, comprehensiveness, and user-friendliness of the software make it a valuable tool for improved and faster drug development workflows.
    MeSH term(s) Ligands ; Molecular Docking Simulation ; Software ; Molecular Dynamics Simulation ; Drug Discovery ; Protein Binding
    Chemical Substances Ligands
    Language English
    Publishing date 2023-11-20
    Publishing country United States
    Document type Journal Article
    ZDB-ID 190019-5
    ISSN 1549-960X ; 0095-2338
    ISSN (online) 1549-960X
    ISSN 0095-2338
    DOI 10.1021/acs.jcim.3c01317
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: The molecular basis of the antidepressant action of the magic mushroom extract, psilocin.

    Hakami Zanjani, Ali Asghar / Nguyen, Teresa Quynh Tram / Jacobsen, Luise / Khandelia, Himanshu

    Biochimica et biophysica acta. Proteins and proteomics

    2023  Volume 1871, Issue 4, Page(s) 140914

    Abstract: Magic mushrooms, and their extract psilocybin, are well-known for their psychedelic properties and recreational use. Psilocin, the bio-active form of psilocybin, can potentially treat various psychiatric diseases. Psilocin putatively exerts its ... ...

    Abstract Magic mushrooms, and their extract psilocybin, are well-known for their psychedelic properties and recreational use. Psilocin, the bio-active form of psilocybin, can potentially treat various psychiatric diseases. Psilocin putatively exerts its psychedelic effect as an agonist to the serotonin 2A receptor (5-HT
    MeSH term(s) Psilocybin ; Hallucinogens/pharmacology ; Hallucinogens/chemistry ; Serotonin ; Amines
    Chemical Substances psilocin (CMS88KUW0G) ; Psilocybin (2RV7212BP0) ; Hallucinogens ; Serotonin (333DO1RDJY) ; Amines
    Language English
    Publishing date 2023-04-03
    Publishing country Netherlands
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2918798-9
    ISSN 1878-1454 ; 1570-9639
    ISSN (online) 1878-1454
    ISSN 1570-9639
    DOI 10.1016/j.bbapap.2023.140914
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Design of SARS-CoV-2 Main Protease Inhibitors Using Artificial Intelligence and Molecular Dynamic Simulations.

    Elend, Lars / Jacobsen, Luise / Cofala, Tim / Prellberg, Jonas / Teusch, Thomas / Kramer, Oliver / Solov'yov, Ilia A

    Molecules (Basel, Switzerland)

    2022  Volume 27, Issue 13

    Abstract: Drug design is a time-consuming and cumbersome process due to the vast search space of drug-like molecules and the difficulty of investigating atomic and electronic interactions. The present paper proposes a computational drug design workflow that ... ...

    Abstract Drug design is a time-consuming and cumbersome process due to the vast search space of drug-like molecules and the difficulty of investigating atomic and electronic interactions. The present paper proposes a computational drug design workflow that combines artificial intelligence (AI) methods, i.e., an evolutionary algorithm and artificial neural network model, and molecular dynamics (MD) simulations to design and evaluate potential drug candidates. For the purpose of illustration, the proposed workflow was applied to design drug candidates against the main protease of severe acute respiratory syndrome coronavirus 2. From the ∼140,000 molecules designed using AI methods, MD analysis identified two molecules as potential drug candidates.
    MeSH term(s) Artificial Intelligence ; COVID-19/drug therapy ; Coronavirus 3C Proteases ; Humans ; Molecular Docking Simulation ; Molecular Dynamics Simulation ; Protease Inhibitors/pharmacology ; SARS-CoV-2
    Chemical Substances Protease Inhibitors ; 3C-like proteinase, SARS-CoV-2 (EC 3.4.22.-) ; Coronavirus 3C Proteases (EC 3.4.22.28)
    Language English
    Publishing date 2022-06-22
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 1413402-0
    ISSN 1420-3049 ; 1431-5165 ; 1420-3049
    ISSN (online) 1420-3049
    ISSN 1431-5165 ; 1420-3049
    DOI 10.3390/molecules27134020
    Database MEDical Literature Analysis and Retrieval System OnLINE

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