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Methods for Improving Aptamer Binding Affinity
Aptamers are single stranded oligonucleotides that bind a wide range of biological targets. Although aptamers can be isolated from pools of random sequence oligonucleotides using affinity-based selection, aptamers with high affinities are not always ...
Hijiri Hasegawa +3 more
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Global protein-ligand binding affinity profiling via photocatalytic labeling [PDF]
Protein-ligand binding, selectivity, and affinity dictate the effects of drugs and endogenous molecules in cells. Currently, potential protein-ligand interactions are identified by qualitative interpretation of proteomic, transcriptomic, or genomic data,
Charles D. Warren +4 more
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Summary: CTCF is a DNA-binding protein which plays critical roles in chromatin structure organization and transcriptional regulation; however, little is known about the functional determinants of different CTCF-binding sites (CBS).
Ester Marina-Zárate +4 more
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Learned features of antibody-antigen binding affinity
Defining predictors of antigen-binding affinity of antibodies is valuable for engineering therapeutic antibodies with high binding affinity to their targets.
Nathaniel L. Miller +7 more
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Probing high affinity sequences of DNA aptamer against VEGF165. [PDF]
Vascular endothelial growth factor (VEGF(165)) is a potent angiogenic mitogen commonly overexpressed in cancerous cells. It contains two main binding domains, the receptor-binding domain (RBD) and the heparin-binding domain (HBD). This study attempted to
Harleen Kaur, Lin-Yue Lanry Yung
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Binding affinity and mechanisms of SARS-CoV-2 variants
During the rapid worldwide spread of SARS-CoV-2, the viral genome has been undergoing numerous mutations, especially in the spike (S) glycoprotein gene that encode a type-I fusion protein, which plays an important role in the infectivity and ...
Yanqiang Han +4 more
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GANsDTA: Predicting Drug-Target Binding Affinity Using GANs
The computational prediction of interactions between drugs and targets is a standing challenge in drug discovery. State-of-the-art methods for drug-target interaction prediction are primarily based on supervised machine learning with known label ...
Lingling Zhao +4 more
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3pHLA-score improves structure-based peptide-HLA binding affinity prediction
Binding of peptides to Human Leukocyte Antigen (HLA) receptors is a prerequisite for triggering immune response. Estimating peptide-HLA (pHLA) binding is crucial for peptide vaccine target identification and epitope discovery pipelines.
Anja Conev +4 more
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The outbreak of coronavirus disease 2019 (COVID-19) has sparked an urgent demand for advanced diagnosis and vaccination worldwide. The discovery of high-affinity ligands is of great significance for vaccine and diagnostic reagent manufacturing. Targeting
Siyuan Song, Qinghong Shi
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We analyzed the thermodynamics of binding of cocaine and several cocaine metabolites to a humanized anti-cocaine mAb (h2E2), which is under development for the treatment of cocaine use disorders, using isothermal titration calorimetry.
Terence L. Kirley, Andrew B. Norman
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