Ata uhi

I tiakina i:
Ngā taipitopito rārangi puna kōrero
Kaituhi matua: Zheng, Wenjun
Hōputu: Recurso digital
Reo:
I whakaputaina: Zenodo 2025
Ngā marau:
GRIN1, GRIN2A, molecular dynamics, NMDA receptor, principal component analysis, machine learning, random forest, root mean squared fluctuations, van der Waals interaction, hydrogen bond
Urunga tuihono:https://doi.org/10.5281/zenodo.17096455
Ngā Tūtohu: Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
Rārangi ihirangi:
  • <p>frame_1628.pdb contains the MD frame with maximal R_min</p> <p>trajs_xing_7traj_320.pdb.gz contains 5600 frames of 7 MD trajectories of the NMDAR (including the TMD and LBD-TMD linkers)</p> <p>data_vdw_hb.tar contains data files for intra-N1, intra-N2A and N1-N2A vdw and hb interactions for 5600 MD frames</p> <p>Rmin from HOLE: Rmin.out1</p> <p>mutational data from clinvar and<em> hgmd</em></p> <p>conservation data from consurf</p> <p>machine learning code: ML.py</p>

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