Computational and experimental prediction of human C-type lectin receptor druggability.
about
AFM force spectroscopy reveals how subtle structural differences affect the interaction strength between Candida albicans and DC-SIGN.Moving Beyond Active-Site Detection: MixMD Applied to Allosteric Systems.Calcium-Independent Activation of an Allosteric Network in Langerin by Heparin Oligosaccharides.Identification of Multiple Druggable Secondary Sites by Fragment Screening against DC-SIGN.Editorial: Structural and Computational Glycobiology - Immunity and Infection.Bacterial Polysaccharide Specificity of the Pattern Recognition Receptor Langerin Is Highly Species-dependent.C-Type Lectin-Like Receptors As Emerging Orchestrators of Sterile Inflammation Represent Potential Therapeutic Targets.Chemical fragment arrays for rapid druggability assessment.
P2860
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P2860
Computational and experimental prediction of human C-type lectin receptor druggability.
description
2014 nî lūn-bûn
@nan
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
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2014年论文
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2014年论文
@zh-cn
name
Computational and experimental prediction of human C-type lectin receptor druggability.
@en
type
label
Computational and experimental prediction of human C-type lectin receptor druggability.
@en
prefLabel
Computational and experimental prediction of human C-type lectin receptor druggability.
@en
P2860
P50
P356
P1476
Computational and experimental prediction of human C-type lectin receptor druggability.
@en
P2093
Dario Heymann
P2860
P356
10.3389/FIMMU.2014.00323
P577
2014-07-10T00:00:00Z