Evidence map›Paper›PMID 40176349›Full record

ReviewMolecular therapy : the journal of the American Society of Gene Therapy2025

Advances in AAV capsid engineering: Integrating rational design, directed evolution and machine learning.

Alan M Nisanov, Julio A Rivera de Jesús, David V Schaffer

Abstract readReview
In one paragraph

Review in Molecular therapy : the journal of the American Society of Gene Therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed.

  1. Review
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  11. Review
  12. In Vivo T-Cell Engineering: Revolution in Delivery Strategies and Clinical Translation.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2026
    Review
  13. Tissue-specific gene delivery approaches.Bioengineering & translational medicine · 2026
    Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Review
  19. Evolution of Engineered ADAR-Based RNA Editing Systems.International journal of molecular sciences · 2026
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Alan M NisanovDepartment of Chemistry, University of California, Berkeley, Berkeley CA 94720, USA.
Julio A Rivera de JesúsDepartment of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA; Graduate Program in Bioengineering, University of California, Berkeley, San Francisco and University of California, Berkeley, CA 94720, USA; Department of Neurological Surgery, University of California, San Francisco, CA 94143, USA.
David V SchafferDepartment of Chemical and Biomolecular Engineering, University of California, Berkeley, Berkeley, CA 94720, USA; Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA; Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA. Electronic address: schaffer@berkeley.edu.

Funding

Directed Evolution of Novel AAVs and Regulatory Elements for Selective Microglial Gene ExpressionR01NS126397 · NINDS · UNIVERSITY OF CALIFORNIA BERKELEY · PI Tomasz Nowakowski, DAVID V SCHAFFER · 2023 to 2026
$3.2M
Machine Learning Augmented Discovery of AAV Capsids for Cell Type Specific Access into Human Neurons and GliaUF1MH130700 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI NOWAKOWSKI, TOMASZ, SCHAFFER, DAVID V · 2022 to 2022
$2.9M
Biology and Biotechnology of Cell and Gene TherapyT32GM139780 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI Amy Elizabeth Herr, Dirk Hockemeyer · 2021 to 2026
$2.4M
NIGMS NIH HHS T32 GM139780NIMH NIH HHS UF1 MH130700NINDS NIH HHS R01 NS126397
6 · The paper itself

Abstract

Adeno-associated virus (AAV) has emerged as a highly promising vector for human gene therapy due to its favorable safety profile, versatility, and ability to transduce a wide range of tissues. However, natural AAV serotypes have shortcomings, including suboptimal transduction efficiency, pre-existing immunity, and a lack of tissue specificity, that hinder their therapeutic potential. To address these challenges, significant efforts are being applied to engineer novel AAV capsids. Rational design leverages structural insights to enhance capsid properties, directed evolution enables unbiased selection of superior variants, and machine learning accelerates discovery by computational analysis of high-throughput screening results to enable predictive algorithms. These strategies have yielded novel capsids with improved transduction efficiency, reduced immunogenicity, and enhanced tissue targeting. Future advances that continue to integrate such multi-disciplinary approaches will further drive the clinical translation of AAV-based therapies.

Indexed as

CapsidCapsid ProteinsDependovirusDirected Molecular EvolutionGenetic VectorsMachine LearningAnimalsGenetic EngineeringGenetic TherapyHumansTransduction, GeneticCapsid ProteinsAAVdirected evolutiongene therapyhigh-throughput screeningmachine learningnext generation sequencingNGSrational design

Identifiers

PMID40176349
PMCPMC12126824

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.