Protein Engineering Design & Selection

Papers
(The TQCC of Protein Engineering Design & Selection is 6. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-08-01 to 2026-08-01.)
ArticleCitations
A Tethered Yeast Surface Display System Facilitates Enriching Epitope-Specific Binding Interactions80
Enhancing the Thermostability and solubility of a single-domain catalytic antibody47
Improving plastic degrading enzymes via directed evolution42
Rational design of selective bispecific EPO-R/CD131 agonists29
Improving the production and stability of nanobodies26
Yeast biopanning against site-specific phosphorylations in tau26
Dissection of the MeCP2 repressor protein enables CRISPR platform optimization via localization engineering17
Mapping functional dynamics hotspots for protein engineering with NMR peak intensity analysis15
Enzyme design pioneer Steve Mayo: I was trying to capture the fundamental physics of the problem as a way to elucidate mechanisms15
Design of functional intrinsically disordered proteins14
Experimental analyses of RFdiffusion designed Miniproteins for binding to SARS-CoV-2 nucleocapsid protein12
A his-to-Gln mutation in catechol 2,3-dioxygenase catalyzes 2,3-dihydroxybenzoic acid cleavage by an intradiol pathway11
Integrating machine learning tools in protein design: a case of MHETase engineering for PET biodeconstruction10
Engineering enzyme activity using an expanded amino acid alphabet10
Usage of a split CH2 domain as building block for new antibody formats9
Sequence-developability mapping of affibody and fibronectin paratopes via library-scale variant characterization9
Engineering of a lysosomal-targeted GAA enzyme8
Free energy–guided Q302P mutation in GH1 β -glucosidase from Aspergillus fumigatus improves enzyme functio8
Analysis of conformational stability of interacting residues in protein binding interfaces7
Combining bacterial display and protein language models to engineer a CD69-binding affibody for molecular imaging of immune activation6
abYpap: improvements to the prediction of antibody VH/VL packing using gradient boosted regression6
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