Protein Engineering Design & Selection

Papers
(The median citation count of Protein Engineering Design & Selection is 2. 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 2021-05-01 to 2025-05-01.)
ArticleCitations
Enhancing the Thermostability and solubility of a single-domain catalytic antibody37
Improving plastic degrading enzymes via directed evolution27
Yeast surface display-based identification of ACE2 mutations that modulate SARS-CoV-2 spike binding across multiple mammalian species23
Comprehensive mapping of SARS-CoV-2 peptide epitopes for development of a highly sensitive serological test for total and neutralizing antibodies20
Cyan fluorescent proteins derived from mNeonGreen18
Enzyme design pioneer Steve Mayo: I was trying to capture the fundamental physics of the problem as a way to elucidate mechanisms11
Yeast biopanning against site-specific phosphorylations in tau11
Design of functional intrinsically disordered proteins10
Engineering enzyme activity using an expanded amino acid alphabet9
Engineering of a lysosomal-targeted GAA enzyme8
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 therapeutics6
Analysis of conformational stability of interacting residues in protein binding interfaces6
Modifying pH-sensitive PCSK9/LDLR interactions as a strategy to enhance hepatic cell uptake of low-density lipoprotein cholesterol (LDL-C)6
abYpap: improvements to the prediction of antibody VH/VL packing using gradient boosted regression6
Effect of alanine versus serine at position 88 of human transthyretin mutants on the protein stability5
Engineering of a phosphotriesterase with improved stability and enhanced activity for detoxification of the pesticide metabolite malaoxon5
Physics-based approach to extend a de novo TIM barrel with rationally designed helix-loop-helix motifs5
An easy-to-use high-throughput selection system for the discovery of recombinant protein binders from alternative scaffold libraries5
Sequence-activity mapping via depletion reveals striking mutational tolerance and elucidates functional motifs in Tur1a antimicrobial peptide4
A protein engineering approach toward understanding FKBP51 conformational dynamics and mechanisms of ligand binding4
CDRxAbs: antibody small-molecule conjugates with computationally designed target-binding synergy4
Structure-based engineering of minimal proline dehydrogenase domains for inhibitor discovery4
Stabilization of the SARS-CoV-2 receptor binding domain by protein core redesign and deep mutational scanning4
An engineered NKp46 antibody for construction of multi-specific NK cell engagers4
Strategies for enriching and characterizing proteins with inhibitory properties on the yeast surface4
Contributions from ClpS surface residues in modulating N-terminal peptide binding and their implications for NAAB development3
Reducing substrate inhibition of malate dehydrogenase from Geobacillus stearothermophilus by C-terminal truncation3
Tuning ProteinMPNN to reduce protein visibility via MHC Class I through direct preference optimization3
Optimized single-cell gates for yeast display screening3
Enhancing the activity of a monomeric alcohol dehydrogenase for site-specific applications by site-directed mutagenesis3
Growing ecosystem of deep learning methods for modeling protein–protein interactions3
Supercharged Phosphotriesterase for improved Paraoxon activity2
TIMED-Design: flexible and accessible protein sequence design with convolutional neural networks2
Data-driven enzyme engineering to identify function-enhancing enzymes2
A multivalent antibody assembled from different building blocks using tag/catcher systems: a case study2
Engineered FHA domains can bind to a variety of Phosphothreonine-containing peptides2
Benchmarking TriadAb using targets from the second antibody modeling assessment2
0.039336919784546