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The protein domains for individual complexes in the benchma..:

Xianggen Liu (11232118) ; Yunan Luo (7345178) ; Pengyong Li (5909552)..
https://figshare.com/articles/dataset/The_protein_domains_for_individual_complexes_in_the_benchmark_datasets_measured_by_ECOD_/15108274. , 2021

Link: https://doi.org/10.1371/journal.pcbi.1009284.s011

RT Journal
T1 <Title>The protein domains for individual complexes in the benchmark datasets measured by ECOD</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_15108274&Exemplar=1&LAN=DE
				
A1 Xianggen Liu (11232118)
A1 Yunan Luo (7345178)
A1 Pengyong Li (5909552)
A1 Sen Song (8305)
A1 Jian Peng (117876)
YR 2021
K1 Biophysics
K1 Biochemistry
K1 Molecular Biology
K1 Biological Sciences not elsewhere classified
K1 Chemical Sciences not elsewhere classified
K1 Information Systems not elsewhere classified
K1 binding affinities
K1 receptor-binding domain
K1 protein-protein binding affinity
K1 protein-protein binding affinity Mo
K1 modeling effects
K1 novel structure-based deep-learning
K1 training gradient-boosting trees
K1 benchmark datasets
K1 protein engineering
K1 protein structure
K1 GeoPPI
K1 RBD
K1 drug design
K1 representation
K1 multi-point mutations
K1 protein design
K1 protein-protein interaction
K1 S protein
K1 binding affinity
K1 binding affinity changes
K1 encodes topology features
K1 protein structures
K1 acid mutations
K1 SARS-CoV -2 antibodies
JF https://figshare.com/articles/dataset/The_protein_domains_for_individual_complexes_in_the_benchmark_datasets_measured_by_ECOD_/15108274
LK http://dx.doi.org/https://doi.org/10.1371/journal.pcbi.1009284.s011
DO https://doi.org/10.1371/journal.pcbi.1009284.s011
SF ELIB - SuUB Bremen

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