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41 results for “TSH”

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zenodo36/100

Phenanthrene: TD-DFTB datasets, pre-trained SchNet models and initial coniditions for TSH

<p><em>Data associated with the paper entitled </em></p> <p><strong>On application of Deep Learning to simplified quantum-classical dynamics in electronically excited states</strong></p> <ol> <li>Three TD-DFTB datasets&nbsp;(<strong>sX_10_force.db</strong>) have been produced using the <a href="https://wiki.fysik.dtu.dk/ase/">Atomic Simulation Environment</a> (ASE) coupled to <a href="http://demon-nano.ups-tlse.fr/">deMon-Nano</a> code for the linear response Time-Dependent Density Functional based Tight-Binding (TD-DFTB) calculations. Each dataset contains 10000 TD-DFTB electronic structure calculations for a given excited singlet state (S<sub>2</sub>/S<sub>3</sub>/S<sub>4</sub>) of a neutral phenanthrene molecule. Each database entry contains Cartesian atomic coordinates as well as potential energy and atomic forces for a given excited state at a given geometry. Since ASE has been used, all physical quantities are stored in the corresponding units (e.g. eV for energy or eV/&Aring; for forces). The file format is SQLite as provided by the ASE;</li> <li>Three pre-trained Deep Learning models (<strong>best_model_sX</strong>) for a given excited singlet state have been produced using <a href="https://schnetpack.readthedocs.io/en/stable/">SchNetPack</a> package, which implements the SchNet architecture for atomistic simulations. Each model has been trained using the corresponding TD-DFTB dataset from #1. The file format is binary as provided by the SchNetPack;</li> <li><a href="https://zenodo.org/api/files/f1925cb5-66a8-4c6f-809b-3414f0cbc1d5/500_init_conditions.tar.gz"><strong>500_init_conditions.tar.gz</strong>&nbsp;</a> contains 500 initial conditions (Cartesian coordinates and velocities), which can be used for Trajectory Surface Hopping (TSH) simulations with or without the pre-trained models from #2.</li> </ol> <p>&nbsp;</p>

opencc-by-4.0Dec 2020View details →
dryad36/100

Data from: Computational model of the full-length TSH receptor

<p>The receptor for thyroid stimulating hormone (TSHR), a GPCR, is of particular interest as the primary antigen in autoimmune hyperthyroidism (Graves' disease) caused by stimulating TSHR antibodies. To date, only one domain of the extracellular region of the TSHR has been crystallized. We have run a 1000ns Molecular Dynamic simulation on a model of the entire TSHR generated by merging the extracellular region of the receptor, obtained using artificial intelligence, with our recent homology model of the transmembrane domain, embedded it in a lipid membrane solvated it with water and counterions. The simulations showed that the structure of the transmembrane and leucine-rich domains were remarkably constant while the linking region (LR), known more commonly as the "hinge region", showed significant flexibility, forming several transient secondary structural elements. Furthermore, the relative orientation of the leucine-rich domain with the rest of the receptor was also seen to be variable. These data suggest that this linker region is an intrinsically disordered protein (IDP). Furthermore, preliminary data simulating the full TSHR model complexed with its ligand (TSH) showed that (a) there is a strong affinity between the linker region and TSH ligand and (b) the association of the linker region and the TSH ligand reduces the structural fluctuations in the linker region. This full-length model illustrates the importance of the linker region in responding to ligand binding and lays the foundation for studies of pathologic TSHR autoantibodies complexed with the TSHR to give further insight into their interaction with the flexible linker region.</p> <p>The dataset represents the coordinates of a model of the Thyroid Stimulating Hormone Recpetor (TSHR) built from the AI-based alphafold2 model of the TSHR ectodomain and the MD geverated model of the transmembrane domain (TMD) of TSHR.</p>

opencc-zeroFeb 2023View details →
ClinicalTrials.gov36/100

Study to Verify Clinical Utility of Point-of-Care (POC) Thyroid Stimulating Hormone (TSH) Test Kits as Compared to Third Generation TSH Test Kit

ClinicalTrials.gov study NCT01921452. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

TSH Risk by Extraction Site in Lap Cholecystectomy

ClinicalTrials.gov study NCT06953713. IPD Sharing: YES. Countries: 1. Publications: 1.

controlledIPD-YESFeb 2026View details →
dryad36/100

Data from: Computational model of the full-length TSH receptor

Open the record for dataset details and reuse information.

publicFeb 2023View details →
zenodo32/100

TSH vs SEMEN PARAMETERS

<p>A dataset of 130 men who were evaluated for couple subfertility. The dataset includes Age, BMI, TSH, semen volume, semen concentration, total sperm count.&nbsp;</p>

opencc-by-4.0Apr 2022View details →
zenodo32/100

Supplementary files:TSH Promotes Right Ventricle Energy Metabolism Remodeling and Hypertrophy

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opencc-by-4.0Nov 2024View details →
zenodo32/100

SUSTAINED PITUITARY T3 PRODUCTION EXPLAINS THE T4-MEDIATED TSH FEEDBACK MECHANISM

<p>Supplemental data for the manuscript &quot;Sustained pituitary T3 production explains the T4-mediated TSH feedback&quot;</p>

opencc-by-4.0Aug 2023View details →
ClinicalTrials.gov32/100

TSH Suppression During Radiotherapy on Thyroid Site to Prevent Iatrogenic Hypothyroidism in Pediatric Cancer Patients

ClinicalTrials.gov study NCT05316922. IPD Sharing: NO. Countries: 1. Publications: 6.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Normal Range of TSH and FT4 in Pregnancy

ClinicalTrials.gov study NCT04860622. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Interrelations Between FT3, FT4 and Pituitary TSH

ClinicalTrials.gov study NCT01969552. IPD Sharing: Not stated. Countries: 1. Publications: 6.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Upper Limit for TSH of First and Second Trimester Pregnancy in Turkey

ClinicalTrials.gov study NCT03754621. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

TSH Receptor Mutations Among a Consanguineous Community

ClinicalTrials.gov study NCT00747760. IPD Sharing: Not stated. Countries: 2. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Correlation Between Levothyroxine and Blood Th17/Treg in Pregnant Women With Normal-high TSH and Positive TPOAb

ClinicalTrials.gov study NCT06527859. IPD Sharing: NO. Countries: 1. Publications: 17.

closedIPD-NOFeb 2026View details →
zenodo28/100

Supplemental Table and Figures for TSH Trajectories in the ELSA-Brasil Cohort

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opencc-by-4.0Apr 2024View details →
ClinicalTrials.gov28/100

Correlation Between TCM Syndrome Factors and TSH Changes of Thyroid Hormone Withdrawal Before Iodine Therapy in Postoperative Patients With Thyroid Cancer

ClinicalTrials.gov study NCT04916262. IPD Sharing: Not stated. Countries: 0. Publications: 4.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov28/100

Desiccated Thyroid Extract Combined With Levothyroxine for TSH Suppression Therapy in DTC

ClinicalTrials.gov study NCT07239674. IPD Sharing: UNDECIDED. Countries: 0. Publications: 9.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Thyroid Stimulating Hormone (TSH) Level Variations in Early Pregnancy

ClinicalTrials.gov study NCT04565873. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Comparison of Iodine-124 (I-124) and Iodine-131 (I-131) Radiopharmacokinetics in Patients Prepared With Recombinant Human TSH Injection (rhTSH)

ClinicalTrials.gov study NCT00926978. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Evaluating a Our Practice Advisory (OPA) to Optimize Hemoglobin A1c (A1c) and Thyroid-Stimulating Hormone (TSH) Test Orders

ClinicalTrials.gov study NCT06993805. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →

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