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6 de ago. de 2020 · Quantitative measurements of biomolecule associations are central to biological understanding and are needed to build and test predictive and mechanistic models.
6 de ago. de 2020 · Full text. Figures and data. Peer review. Side by side. Abstract. Quantitative measurements of biomolecule associations are central to biological understanding and are needed to build and test predictive and mechanistic models.
16 de oct. de 2014 · Abstract. Protein-protein interactions (PPI) in nature are conveyed by a multitude of binding modes involving various surfaces, secondary structure elements and intermolecular interactions. This diversity results in PPI binding affinities that span more than nine orders of magnitude.
5 de ene. de 2022 · Every reaction has characteristic values of affinity and specificity. We quantify affinity—the strength of binding—using ΔG, the free energy change between the bound and free (unbound) states of the partners.
1 de jun. de 2017 · The data from these experimental techniques provide valuable information on important interactions which influence the affinity of protein–protein complexes, binding site residues at the interface and thermodynamic parameters for understanding the mechanism of protein–protein recognition at molecular level [ 1 ].
23 de may. de 2022 · We show that ProBound quantifies transcription factor (TF) behavior with models that predict binding affinity over a range exceeding that of previous resources; captures the impact of DNA...
31 de mar. de 2023 · Prediction the affinity values between compounds and protein targets is an important task in drug discovery. In this paper, we propose a unified measure, i.e. BiComp, for protein encoding that includes evolutionary-based and compression-based features for protein encoding in drug-target binding affinity prediction.
