ReviewDrug design, development and therapy2018
Computer-aided design of amino acid-based therapeutics: a review.
Review in Drug design, development and therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 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
23 citing papers in PubMed, 37 citations in OpenAlex.
- Toward the rational design of oncogenic TASK-3 channel inhibitor peptides and nanoconjugate complexes.Frontiers in pharmacology · 2026Review
- Computational and experimental design of L-amino acid-based alternatives to ketorolac.Scientific reports · 2025Article
- Preclinical Evaluation of 2-Aminobenzothiazole Derivatives: In Silico, In Vitro, and Preliminary In Vivo Studies as Diabetic Treatments and Their Complications.Molecules (Basel, Switzerland) · 2025Article
- Effects of peptides derived from active sites of visfatin on wound healing.Scientific reports · 2025Article
- Article
- Exploratory data analysis of physicochemical parameters of natural antimicrobial and anticancer peptides: Unraveling the patterns and trends for the rational design of novel peptides.BioImpacts : BI · 2024Article
- Efficient prediction of anticancer peptides through deep learning.PeerJ. Computer science · 2024Article
- Design methods for antimicrobial peptides with improved performance.Zoological research · 2023Review
- Iturin: A Promising Cyclic Lipopeptide with Diverse Applications.Biomolecules · 2023Review
- Research in the Field of Drug Design and Development.Pharmaceuticals (Basel, Switzerland) · 2023Review
- Non-Canonical Amino Acids as Building Blocks for Peptidomimetics: Structure, Function, and Applications.Biomolecules · 2023Review
- A transcytotic transport mechanism across the tympanic membrane.Scientific reports · 2022Article
- What a Difference an Amino Acid Makes: An All-Atom Simulation Study of Nonameric Peptides in Inhibitory HLA-E/NKG2A/CD94 Immune Complexes.Frontiers in pharmacology · 2022Article
- Effect of Strain Rate on Single Tau, Dimerized Tau and Tau-Microtubule Interface: A Molecular Dynamics Simulation Study.Biomolecules · 2021Article
- CASTELO: clustered atom subtypes aided lead optimization-a combined machine learning and molecular modeling method.BMC bioinformatics · 2021Article
- Fish and Shellfish-Derived Anti-Inflammatory Protein Products: Properties and Mechanisms.Molecules (Basel, Switzerland) · 2021Review
- Article
- Antimicrobial Peptides Derived From Insects Offer a Novel Therapeutic Option to Combat Biofilm: A Review.Frontiers in microbiology · 2021Review
- Understanding the Targeting Mechanisms of Multi-Specific Biologics in Immunotherapy with Multiscale Modeling.iScience · 2020Article
- Virtual screening for potential inhibitors of β(1,3)-D-glucan synthase as drug candidates against fungal cell wall.Journal of drug assessment · 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
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
During the last two decades, the pharmaceutical industry has progressed from detecting small molecules to designing biologic-based therapeutics. Amino acid-based drugs are a group of biologic-based therapeutics that can effectively combat the diseases caused by drug resistance or molecular deficiency. Computational techniques play a key role to design and develop the amino acid-based therapeutics such as proteins, peptides and peptidomimetics. In this study, it was attempted to discuss the various elements for computational design of amino acid-based therapeutics. Protein design seeks to identify the properties of amino acid sequences that fold to predetermined structures with desirable structural and functional characteristics. Peptide drugs occupy a middle space between proteins and small molecules and it is hoped that they can target "undruggable" intracellular protein-protein interactions. Peptidomimetics, the compounds that mimic the biologic characteristics of peptides, present refined pharmacokinetic properties compared to the original peptides. Here, the elaborated techniques that are developed to characterize the amino acid sequences consistent with a specific structure and allow protein design are discussed. Moreover, the key principles and recent advances in currently introduced computational techniques for rational peptide design are spotlighted. The most advanced computational techniques developed to design novel peptidomimetics are also summarized.
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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.