ReviewExpert opinion on drug discovery2018
Recent advances in automated protein design and its future challenges.
Review in Expert opinion on drug discovery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 26 citations in OpenAlex.
- Enhancing the Protein Stability of an Anticancer VHH-Fc Heavy Chain Antibody through Computational Modeling and Variant Design.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- An in-situ peptide-antibody self-assembly to block CD47 and CD24 signaling enhances macrophage-mediated phagocytosis and anti-tumor immune responses.Nature communications · 2024Article
- Protein engineering in the computational age: An open source framework for exploring mutational landscapesEngineering biology · 2023Article
- Possibilities of Using De Novo Design for Generating Diverse Functional Food Enzymes.International journal of molecular sciences · 2023Review
- Quantum computing algorithms: getting closer to critical problems in computational biology.Briefings in bioinformatics · 2022Review
- Clinical monitoring in osteoarthritis: Biomarkers.Osteoarthritis and cartilage · 2022Article
- Computational Design of Miniprotein Binders.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Binding pocket stabilization by high-throughput screening of yeast display libraries.Frontiers in molecular biosciences · 2022Article
- EvoProDom: evolutionary modeling of protein families by assessing translocations of protein domains.FEBS open bio · 2021Article
- Degradation of proteins by PROTACs and other strategies.Acta pharmaceutica Sinica. B · 2020Review
- Computational andFrontiers in cell and developmental biology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
introductionProtein function is determined by protein structure which is in turn determined by the corresponding protein sequence. If the rules that cause a protein to adopt a particular structure are understood, it should be possible to refine or even redefine the function of a protein by working backwards from the desired structure to the sequence. Automated protein design attempts to calculate the effects of mutations computationally with the goal of more radical or complex transformations than are accessible by experimental techniques. Areas covered: The authors give a brief overview of the recent methodological advances in computer-aided protein design, showing how methodological choices affect final design and how automated protein design can be used to address problems considered beyond traditional protein engineering, including the creation of novel protein scaffolds for drug development. Also, the authors address specifically the future challenges in the development of automated protein design. Expert opinion: Automated protein design holds potential as a protein engineering technique, particularly in cases where screening by combinatorial mutagenesis is problematic. Considering solubility and immunogenicity issues, automated protein design is initially more likely to make an impact as a research tool for exploring basic biology in drug discovery than in the design of protein biologics.
Indexed as
Identifiers
What OpenQuestion holds
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.