2023
DOI: 10.1016/j.csbj.2023.07.039
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Cavity architecture based modulation of ligand binding tunnels in plant START domains

Sanjeet Kumar Mahtha,
Kamlesh Kumari,
Vineet Gaur
et al.
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Cited by 2 publications
(2 citation statements)
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“…For example, the immunoglobulin fold used by antibodies is quite successful in the molecular recognition of both protein and small molecule ligands 23,24 . Members of both the lipocalin fold and the START superfamily naturally bind, and can further be engineered to bind, a variety of small molecule ligands [25][26][27][28][29][30] . Richer information on the sequence, structural, and mechanistic basis of ligand binding may be found by interrogating a sensor family's recognition of distinct ligands rather than bespoke designs.…”
Section: Introductionmentioning
confidence: 99%
“…For example, the immunoglobulin fold used by antibodies is quite successful in the molecular recognition of both protein and small molecule ligands 23,24 . Members of both the lipocalin fold and the START superfamily naturally bind, and can further be engineered to bind, a variety of small molecule ligands [25][26][27][28][29][30] . Richer information on the sequence, structural, and mechanistic basis of ligand binding may be found by interrogating a sensor family's recognition of distinct ligands rather than bespoke designs.…”
Section: Introductionmentioning
confidence: 99%
“…However, several protein folds have evolved and been engineered to bind diverse ligands with affinity and specificity. For example, the immunoglobulin fold used by antibodies is quite successful in the molecular recognition of both protein and small molecule ligands. , Members of both the lipocalin fold and the START superfamily naturally bind, and can further be engineered to bind, a variety of small molecule ligands. Richer information on the sequence, structural, and mechanistic basis of ligand binding may be found by interrogating a sensor family’s recognition of distinct ligands rather than bespoke designs.…”
Section: Introductionmentioning
confidence: 99%