BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

189 related articles for article (PubMed ID: 35844960)

  • 1. Progressive assembly of multi-domain protein structures from cryo-EM density maps.
    Zhou X; Li Y; Zhang C; Zheng W; Zhang G; Zhang Y
    Nat Comput Sci; 2022 Apr; 2(4):265-275. PubMed ID: 35844960
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Progressive and accurate assembly of multi-domain protein structures from cryo-EM density maps.
    Zhou X; Li Y; Zhang C; Zheng W; Zhang G; Zhang Y
    bioRxiv; 2020 Oct; ():. PubMed ID: 33083802
    [TBL] [Abstract][Full Text] [Related]  

  • 3. DEMO-EM2: assembling protein complex structures from cryo-EM maps through intertwined chain and domain fitting.
    Zhang Z; Cai Y; Zhang B; Zheng W; Freddolino L; Zhang G; Zhou X
    Brief Bioinform; 2024 Jan; 25(2):. PubMed ID: 38517699
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Assembling multidomain protein structures through analogous global structural alignments.
    Zhou X; Hu J; Zhang C; Zhang G; Zhang Y
    Proc Natl Acad Sci U S A; 2019 Aug; 116(32):15930-15938. PubMed ID: 31341084
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A New Protocol for Atomic-Level Protein Structure Modeling and Refinement Using Low-to-Medium Resolution Cryo-EM Density Maps.
    Zhang B; Zhang X; Pearce R; Shen HB; Zhang Y
    J Mol Biol; 2020 Sep; 432(19):5365-5377. PubMed ID: 32771523
    [TBL] [Abstract][Full Text] [Related]  

  • 6. CR-I-TASSER: assemble protein structures from cryo-EM density maps using deep convolutional neural networks.
    Zhang X; Zhang B; Freddolino PL; Zhang Y
    Nat Methods; 2022 Feb; 19(2):195-204. PubMed ID: 35132244
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Model building of protein complexes from intermediate-resolution cryo-EM maps with deep learning-guided automatic assembly.
    He J; Lin P; Chen J; Cao H; Huang SY
    Nat Commun; 2022 Jul; 13(1):4066. PubMed ID: 35831370
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Multi-Scale Flexible Fitting of Proteins to Cryo-EM Density Maps at Medium Resolution.
    Kulik M; Mori T; Sugita Y
    Front Mol Biosci; 2021; 8():631854. PubMed ID: 33842541
    [TBL] [Abstract][Full Text] [Related]  

  • 9. FOLD-EM: automated fold recognition in medium- and low-resolution (4-15 Å) electron density maps.
    Saha M; Morais MC
    Bioinformatics; 2012 Dec; 28(24):3265-73. PubMed ID: 23131460
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Fitting Low-Resolution Protein Structures into Cryo-EM Density Maps by Multiobjective Optimization of Global and Local Correlations.
    Zhang B; Zhang W; Pearce R; Zhang Y; Shen HB
    J Phys Chem B; 2021 Jan; 125(2):528-538. PubMed ID: 33397114
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Accurate flexible refinement for atomic-level protein structure using cryo-EM density maps and deep learning.
    Zhang B; Liu D; Zhang Y; Shen HB; Zhang GJ
    Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35152277
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Iterative Molecular Dynamics-Rosetta Membrane Protein Structure Refinement Guided by Cryo-EM Densities.
    Leelananda SP; Lindert S
    J Chem Theory Comput; 2017 Oct; 13(10):5131-5145. PubMed ID: 28949136
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Efficient Flexible Fitting Refinement with Automatic Error Fixing for De Novo Structure Modeling from Cryo-EM Density Maps.
    Mori T; Terashi G; Matsuoka D; Kihara D; Sugita Y
    J Chem Inf Model; 2021 Jul; 61(7):3516-3528. PubMed ID: 34142833
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Tool for Segmentation of Secondary Structures in 3D Cryo-EM Density Map Components Using Deep Convolutional Neural Networks.
    Mu Y; Sazzed S; Alshammari M; Sun J; He J
    Front Bioinform; 2021; 1():710119. PubMed ID: 36303800
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Neural representations of cryo-EM maps and a graph-based interpretation.
    Ranno N; Si D
    BMC Bioinformatics; 2022 Sep; 23(Suppl 3):397. PubMed ID: 36171544
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A fragment based method for modeling of protein segments into cryo-EM density maps.
    Ismer J; Rose AS; Tiemann JKS; Hildebrand PW
    BMC Bioinformatics; 2017 Nov; 18(1):475. PubMed ID: 29132296
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Refinement of AlphaFold2 models against experimental and hybrid cryo-EM density maps.
    Alshammari M; Wriggers W; Sun J; He J
    QRB Discov; 2022; 3():. PubMed ID: 37485023
    [TBL] [Abstract][Full Text] [Related]  

  • 18. I-TASSER-MTD: a deep-learning-based platform for multi-domain protein structure and function prediction.
    Zhou X; Zheng W; Li Y; Pearce R; Zhang C; Bell EW; Zhang G; Zhang Y
    Nat Protoc; 2022 Oct; 17(10):2326-2353. PubMed ID: 35931779
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Protein-Protein Modeling Using Cryo-EM Restraints.
    Trellet M; van Zundert G; Bonvin AMJJ
    Methods Mol Biol; 2020; 2112():145-162. PubMed ID: 32006284
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 10.