Protein Engineering Design & Selection

Papers
(The TQCC of Protein Engineering Design & Selection is 7. 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 2020-05-01 to 2024-05-01.)
ArticleCitations
Protein-based lateral flow assays for COVID-19 detection53
Evolution of β-lactamases and enzyme promiscuity22
Engineering stable carbonic anhydrases for CO2 capture: a critical review16
Design and engineering of artificial metalloproteins: from de novo metal coordination to catalysis14
Linking thermodynamics and measurements of protein stability13
Optimization of multi-site nicking mutagenesis for generation of large, user-defined combinatorial libraries11
A fragment-based protein interface design algorithm for symmetric assemblies11
The evolution and engineering of enzyme activity through tuning conformational landscapes10
Generation of a nanobody against HER2 tyrosine kinase using phage display library screening for HER2-positive breast cancer therapy development10
The stability and dynamics of computationally designed proteins10
The design and evolution of fluorescent protein-based sensors for monoatomic ions in biology10
Breakthroughs in computational design methods open up new frontiers for de novo protein engineering9
Molecular flexibility in computational protein design: an algorithmic perspective8
Stabilization of the SARS-CoV-2 receptor binding domain by protein core redesign and deep mutational scanning8
Generation of a 100-billion cyclic peptide phage display library having a high skeletal diversity8
Computational design and experimental optimization of protein binders with prospects for biomedical applications7
Comprehensive mapping of SARS-CoV-2 peptide epitopes for development of a highly sensitive serological test for total and neutralizing antibodies7
Structure-guided protein engineering of human cathepsin L for efficient collagenolytic activity7
Masked inverse folding with sequence transfer for protein representation learning7
Improved thermostability of proteinase K and recognizing the synergistic effect of Rosetta and FoldX approaches7
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