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 2020-04-01 to 2024-04-01.)
ArticleCitations
Protein-based lateral flow assays for COVID-19 detection50
Evolution of β-lactamases and enzyme promiscuity20
Engineering stable carbonic anhydrases for CO2 capture: a critical review15
Design and engineering of artificial metalloproteins: from de novo metal coordination to catalysis14
Linking thermodynamics and measurements of protein stability13
A fragment-based protein interface design algorithm for symmetric assemblies11
Generation of a nanobody against HER2 tyrosine kinase using phage display library screening for HER2-positive breast cancer therapy development10
The design and evolution of fluorescent protein-based sensors for monoatomic ions in biology9
Optimization of multi-site nicking mutagenesis for generation of large, user-defined combinatorial libraries9
Breakthroughs in computational design methods open up new frontiers for de novo protein engineering9
The stability and dynamics of computationally designed proteins9
Stabilization of the SARS-CoV-2 receptor binding domain by protein core redesign and deep mutational scanning8
The evolution and engineering of enzyme activity through tuning conformational landscapes8
Molecular flexibility in computational protein design: an algorithmic perspective8
Comprehensive mapping of SARS-CoV-2 peptide epitopes for development of a highly sensitive serological test for total and neutralizing antibodies7
Computational design and experimental optimization of protein binders with prospects for biomedical applications7
Improved thermostability of proteinase K and recognizing the synergistic effect of Rosetta and FoldX approaches7
Generation of a 100-billion cyclic peptide phage display library having a high skeletal diversity7
Data-driven enzyme engineering to identify function-enhancing enzymes6
Protein engineering for natural product biosynthesis and synthetic biology applications6
Structure-guided protein engineering of human cathepsin L for efficient collagenolytic activity6
Engineering enzyme activity using an expanded amino acid alphabet6
Recent developments in engineering protein–protein interactions using phage display6
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