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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
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Drug-receptor interaction describes the binding of receptors by drugs, but not all drug-receptor interactions result in activation and tissue response. For instance, the binding of agonists activates the receptor to generate a cellular reaction, while antagonists bind to receptors without causing their activation.
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Drugs target macromolecules to modify ongoing cellular processes. Primary drug targets include receptors, ion channels, transporters, and enzymes.
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DecoderDTA: enhancing drug-target binding affinity prediction via decoding fidelity in multi-task learning

Li Han1, Xinning Liu1, Hui Zhou1

  • 1Software and Big Data Technology Department, Dalian Neusoft University of Information, Dalian, 116023, Liaoning, China.

Journal of Computer-Aided Molecular Design
|April 10, 2026
PubMed
Summary

No abstract available in PubMed .

Keywords:
Decoding fidelityDrug–target binding affinityMulti-task learningRepresentation learningSequence reconstruction

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