SSGCID
Seattle Structural Genomics Center for Infectious Disease

Cited Structures: list of articles citing SSGCID structures

We are actively tracking the number of publications by the scientific community which reference our structures, whether in the main text, figure captions or supplementary material. Selected articles are manually reviewed. Publications by SSGCID authors are excluded from the manually reviewed list. From our manual curation results, we estimate that the false positive rate might be as high as 50% for some structures.

This list was obtained from Google Scholar searches using an API provided by Christian Kreibich.

Cited structures

Manually reviewed citations

# PDB Additional SSGCID structures cited Link Title Year Citation Highlighted abstract
1 3dmp - https://arxiv.org/abs/2111.07786 Independent SE (3)-Equivariant Models for End-to-End Rigid Protein Docking 2021 OE Ganea, X Huang, C Bunne, Y Bian- arXiv preprint arXiv, 2021 - arxiv.org the 3D structure of a protein-protein complex from the individual unbound structures , of the initial locations and orientations of the two structures . Our model, named EQUIDOCK,
2 5vcu - https://arxiv.org/abs/2102.03202 Interpretable Neural Networks based classifiers for categorical inputs 2021 S Zamuner, PDL Rios- arXiv preprint arXiv:2102.03202, 2021 - arxiv.org cartoon representation of RAS protein (green) bounded to GDP (light blue spheres) from pdb 5vcu belonging to the most relevant predicted triplets are clustered in the structure of the Note that, to better compare to plmDCA, the same architecture and hyperparameters have
3 6nb7 6nb6 https://arxiv.org/abs/2101.01884 Exploring the Regulatory Function of the N-terminal Domain of SARS-CoV-2 Spike Protein Through Molecular Dynamics Simulation 2021 Y Li, T Wang, J Zhang, B Shao, H Gong- arXiv preprint arXiv, 2021 - arxiv.org taking the S proteins of SARS-CoV with 2 upward RBDs ( PDB ID: 6NB6) (21) and 3 upward RBDs ( PDB ID: 6NB7 ) (21) as We also conducted a time- structure based Independent Components Analysis (tICA) (34, 35) to identify slow motions with high time autocorrelation on
4 3eiy - https://arxiv.org/abs/2012.05716 Utilising Graph Machine Learning within Drug Discovery and Development 2020 T Gaudelet, B Day, AR Jamasb, J Soman- arXiv preprint arXiv, 2020 - arxiv.org and evolve along a temporal dimension resulting in changes to composition, structure and attributes One such approach is to use a graph's structural information to regularise embeddings authors suggest the atten- tion mechanism is decoupled from the architecture and should
5 3lr0 - https://arxiv.org/abs/2009.07466 The role of hydrophobic interactions in folding of -sheets 2020 J Li, X Ma, H Zhang, C Hou, L Shi, S Guo- arXiv preprint arXiv, 2020 - arxiv.org Nature Structural Biology 10, 980, doi:10.1038/nsb1203-980 (2003). 19 Berman, H., Henrick, K., Nakamura, H. & Markley, JL The worldwide Protein Data Bank (wwPDB): ensuring a single, uniform archive of PDB data Structure relaxation via long trajectories made stable
6 6q05 - https://arxiv.org/abs/2002.06196 Structural modeling of 2019-novel coronavirus (nCoV) spike protein reveals a proteolytically-sensitive activation loop as a distinguishing feature compared to SARS 2020 JA Jaimes, NM Andre, JK Millet- arXiv preprint arXiv, 2020 - arxiv.org Protein Data Base: HCoV-HKU1 ( PDB # 5I08), MHV ( PDB # 3JCL), MERS-CoV ( PDB # 6Q05 ), SARS-CoV ( PDB # 5X58), FCoV-UU4 ( PDB # 6JX7), IBV-M41 ( PDB # 6CV0) and HCoV-NL63 ( PDB # 5SZS). Pairwise S structure . Additional
7 2lbb 2l4b https://arxiv.org/abs/1901.00991 Physical Folding Codes for Proteins 2019 X Ma, C Hou, L Shi, L Li, J Li, L Ye, L Yang- arXiv preprint arXiv, 2019 - arxiv.org 15 Soares, CM, Teixeira, VH & Baptista, AM Protein Structure and Dynamics in Nonaqueous Solvents: Insights from Nature Structural Biology 10, 980, doi:10.1038/nsb1203-980 (2003 JL The worldwide Protein Data Bank (wwPDB): ensuring a single, uniform archive of PDB data
8 3nwo - https://arts.units.it/handle/11368/2938808 Integration of bioinformatics analysis and experimental biocatalysis for a comprehensive approach to the synthesis of renewable polyesters 2019 M CESPUGLI - 2019 - arts.units.it the structural features of a dataset of serine hydrolases, where cutinases play a central role enzyme structure , and the catalytic triad is represented by Ser105, Asp187 and His224. The This molecular architecture is responsible for the reduction of molecular oxygen by the
9 6nb4 6nb7 https://apjai-journal.org/wp-content/uploads/2020/03/2.pdf Perspectives on monoclonal antibody therapy as potential therapeutic intervention for Coronavirus disease-19 (COVID-19) 2020 B Shanmugaraj, K Siriwattananon- Asian Pac J Allergy, 2020 - apjai-journal.org PDB ID 6CS2)72 and the following antibodies are shown in magenta: 80R ( PDB ID 2GHW)73, F26G1 ( PDB ID 3BGF)74, m396 ( PDB ID 2DD8)75, and S230 ( PDB ID 6NB7 (P D B ID 6NB4 ) Structure of SARS coronavirus spike receptor- binding domain complexed with receptor
10 4g6c 3laa https://aip.scitation.org/doi/abs/10.1063/1.5048469 Blind prediction of protein B-factor and flexibility 2018 D Bramer, GW Wei- The Journal of chemical physics, 2018 - aip.scitation.org MENU. SIGN IN. Sign in/Register. Enter words / phrases / DOI / ISBN / authors / keywords / etc. SEARCH; CITATION SEARCH; ADVANCED SEARCH. Search in: This Publication. search. Advanced