Protein Engineering Design & Selection

Papers
(The median citation count of Protein Engineering Design & Selection is 3. 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 2021-06-01 to 2025-06-01.)
ArticleCitations
Enhancing the Thermostability and solubility of a single-domain catalytic antibody40
Improving plastic degrading enzymes via directed evolution28
Yeast surface display-based identification of ACE2 mutations that modulate SARS-CoV-2 spike binding across multiple mammalian species24
Cyan fluorescent proteins derived from mNeonGreen20
Comprehensive mapping of SARS-CoV-2 peptide epitopes for development of a highly sensitive serological test for total and neutralizing antibodies18
Yeast biopanning against site-specific phosphorylations in tau12
Enzyme design pioneer Steve Mayo: I was trying to capture the fundamental physics of the problem as a way to elucidate mechanisms11
Design of functional intrinsically disordered proteins10
Engineering enzyme activity using an expanded amino acid alphabet9
Engineering of a lysosomal-targeted GAA enzyme9
Antibody-mediated delivery of CRISPR-Cas9 ribonucleoproteins in human cells7
Sequence-developability mapping of affibody and fibronectin paratopes via library-scale variant characterization7
Correction to: Protease-stable DARPins as promising oral therapeutics7
Analysis of conformational stability of interacting residues in protein binding interfaces6
Effect of alanine versus serine at position 88 of human transthyretin mutants on the protein stability6
Modifying pH-sensitive PCSK9/LDLR interactions as a strategy to enhance hepatic cell uptake of low-density lipoprotein cholesterol (LDL-C)6
Engineering of a phosphotriesterase with improved stability and enhanced activity for detoxification of the pesticide metabolite malaoxon6
abYpap: improvements to the prediction of antibody VH/VL packing using gradient boosted regression6
Sequence-activity mapping via depletion reveals striking mutational tolerance and elucidates functional motifs in Tur1a antimicrobial peptide5
Physics-based approach to extend a de novo TIM barrel with rationally designed helix-loop-helix motifs5
Structure-based engineering of minimal proline dehydrogenase domains for inhibitor discovery5
An easy-to-use high-throughput selection system for the discovery of recombinant protein binders from alternative scaffold libraries5
Strategies for enriching and characterizing proteins with inhibitory properties on the yeast surface4
An engineered NKp46 antibody for construction of multi-specific NK cell engagers4
Optimized single-cell gates for yeast display screening4
CDRxAbs: antibody small-molecule conjugates with computationally designed target-binding synergy4
Stabilization of the SARS-CoV-2 receptor binding domain by protein core redesign and deep mutational scanning4
A protein engineering approach toward understanding FKBP51 conformational dynamics and mechanisms of ligand binding4
Enhancing the activity of a monomeric alcohol dehydrogenase for site-specific applications by site-directed mutagenesis3
Tuning ProteinMPNN to reduce protein visibility via MHC Class I through direct preference optimization3
Contributions from ClpS surface residues in modulating N-terminal peptide binding and their implications for NAAB development3
Growing ecosystem of deep learning methods for modeling protein–protein interactions3
Data-driven enzyme engineering to identify function-enhancing enzymes3
Reducing substrate inhibition of malate dehydrogenase from Geobacillus stearothermophilus by C-terminal truncation3
TIMED-Design: flexible and accessible protein sequence design with convolutional neural networks3
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