ReviewLife (Basel, Switzerland)2021
Recent Progress Using De Novo Design to Study Protein Structure, Design and Binding Interactions.
Review in Life (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Caveat emptor: predicting and modeling protein-DNA recognition and binding via machine-learning computational approaches.Nucleic acids research · 2026Review
- Genome-wide identification and expression analysis of YTH gene family in barley reveals their potential role under abiotic stresses.Genetica · 2026Article
- Genome-wide analysis of the BoBZR1 family genes and transcriptome analysis in Brassica oleracea.Scientific reports · 2025Article
- Controlling heme redox properties in peptide amphiphile fibers with sequence and heme loading ratio.Biophysical journal · 2024Article
- Genome-wide identification and in-silico expression analysis of CCO gene family in sunflower (Helianthus annnus) against abiotic stress.Plant molecular biology · 2024Article
- Role of Artificial Intelligence in Drug Discovery and Target Identification in Cancer.Current drug delivery · 2024Review
- Computational Protein Design for COVID-19 Research and Emerging Therapeutics.ACS central science · 2023Review
- Tailorable Tetrahelical Bundles as a Toolkit for Redox Studies.The journal of physical chemistry. B · 2022Article
- Functional roles of enzyme dynamics in accelerating active site chemistry: Emerging techniques and changing concepts.Current opinion in structural biology · 2022Review
- Molecular Properties of β-Carotene Oxygenases and Their Potential in Industrial Production of Vitamin A and Its Derivatives.Antioxidants (Basel, Switzerland) · 2022Review
- Protein Engineering in the Design of Protein-Protein Interactions: SARS-CoV-2 Inhibitors as a Test Case.Biochemistry · 2021Article
- Unravelling the Structure of the Tetrahedral Metal-Binding Site in METP3 through an Experimental and Computational Approach.Molecules (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
De novo protein design is a powerful methodology used to study natural functions in an artificial-protein context. Since its inception, it has been used to reproduce a plethora of reactions and uncover biophysical principles that are often difficult to extract from direct studies of natural proteins. Natural proteins are capable of assuming a variety of different structures and subsequently binding ligands at impressively high levels of both specificity and affinity. Here, we will review recent examples of de novo design studies on binding reactions for small molecules, nucleic acids, and the formation of protein-protein interactions. We will then discuss some new structural advances in the field. Finally, we will discuss some advancements in computational modeling and design approaches and provide an overview of some modern algorithmic tools being used to design these proteins.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.