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Accurate proteome-wide missense variant effect prediction with AlphaMissense.

Cheng J, Novati G, Pan J, Bycroft C, Žemgulytė A, Applebaum T, Pritzel A, Wong LH, Zielinski M, Sargeant T, Schneider RG, Senior AW, Jumper J, Hassabis D, Kohli P, Avsec Ž. · Science (New York, N.Y.) · 2023 · Journal publication

Original publication · Original publication

Recorded summary

Reference associated with AI-Driven Protein Structure Prediction (AlphaFold).

Recorded limitations

Bibliographic metadata matched; scientific claims await appraisal.

Evidence and provenance

Chapter Trust Factor uses a minimum of three distinct qualifying studies. Publication records retain their own evidence and assessment.

Study design and assessment
design
Journal publication
assessment
Not recorded
trust Factor
scope
Paper
status
unassessed
score
Not recorded
basis
Bibliographic identity checks do not establish study design, blinding or evidential strength.
jadad
status
unassessed
score
Not recorded
evidence
Not recorded
Topics and recorded topic scores
  1. key
    general:imaging-transcriptomics
    title
    Imaging, Transcriptomics and Gene Regulation
    collection
    general
    trust Score
    Not recorded
Citation snapshot and identifiers
id
hsi-adeb0509f25117
doi
10.1126/science.adg7492
pmid
37733863
citation Snapshot
Not recorded
citations By Collection
general
Not recorded
Complete approved library record
id
hsi-adeb0509f25117
aliases
None recorded
source References
  1. ref
    NPL-213
    record Id
    hsi-adeb0509f25117
    source Type
    Journal publication
    title
    Accurate proteome-wide missense variant effect prediction with AlphaMissense.
    authors
    Cheng J, Novati G, Pan J, Bycroft C, Žemgulytė A, Applebaum T, Pritzel A, Wong LH, Zielinski M, Sargeant T, Schneider RG, Senior AW, Jumper J, Hassabis D, Kohli P, Avsec Ž.
    year
    2023
    journal
    Science (New York, N.Y.)
    doi
    10.1126/science.adg7492
    pmid
    37733863
    pmcid
    Not recorded
    patent Number
    Not recorded
    original Assignee
    Not recorded
    original Citation
    Cheng J, Novati G, Pan J et al. (2023). "Accurate proteome-wide missense variant effect prediction with AlphaMissense." Science 381(6664):eadg7492. DOI: 10.1126/science.adg7492 — 71 million missense variants classified across human proteome; 89% categorised as likely benign or likely pathogenic
    original Section
    AI-Driven Protein Structure Prediction (AlphaFold)
    metadata Status
    metadata-matched
    claim Review
    Not independently appraised
    source URL
    https://www.notion.so/3807b9c99c5680599be7d8337c817b15
    publication URL
    https://pubmed.ncbi.nlm.nih.gov/37733863/
    metadata URL
    https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=DOI%3A%2210.1126%2Fscience.adg7492%22&format=json&resultType=core&pageSize=4
    corrections
    None recorded
    topic Id
    imaging-transcriptomics
    role
    Focused chapter source
source Type
Journal publication
source Verification
Bibliographic metadata matched; scientific claims await appraisal.
source Collection
Hyperspectral Imaging · patent section 2.4
title
Accurate proteome-wide missense variant effect prediction with AlphaMissense.
journal
Science (New York, N.Y.)
neurotransmitters
None recorded
year
2023
authors
Cheng J, Novati G, Pan J, Bycroft C, Žemgulytė A, Applebaum T, Pritzel A, Wong LH, Zielinski M, Sargeant T, Schneider RG, Senior AW, Jumper J, Hassabis D, Kohli P, Avsec Ž.
design
Journal publication
kind
Journal publication
identity Conflict
Not recorded
doi
10.1126/science.adg7492
pmid
37733863
urls

https://pubmed.ncbi.nlm.nih.gov/37733863/ · https://doi.org/10.1126/science.adg7492

collections

general

categories

Hyperspectral Imaging

targets
None recorded
priority
1
quotes
None recorded
summary
Reference associated with AI-Driven Protein Structure Prediction (AlphaFold).
limitation
Bibliographic metadata matched; scientific claims await appraisal.
citation Count
Not recorded
paper Trust Assessment
scope
Paper
status
unassessed
score
Not recorded
basis
Bibliographic identity checks do not establish study design, blinding or evidential strength.
citations By Collection
general
Not recorded
topics
  1. key
    general:imaging-transcriptomics
    title
    Imaging, Transcriptomics and Gene Regulation
    collection
    general
    trust Score
    Not recorded
journal Key
science
journal Label
Science (New York, N.Y.)
chapter Entries
  1. id
    general-imaging-transcriptomics-hsi-adeb0509f25117
    record Id
    hsi-adeb0509f25117
    title
    Accurate proteome-wide missense variant effect prediction with AlphaMissense.
    journal
    Science (New York, N.Y.)
    year
    2023
    authors
    Cheng J, Novati G, Pan J, Bycroft C, Žemgulytė A, Applebaum T, Pritzel A, Wong LH, Zielinski M, Sargeant T, Schneider RG, Senior AW, Jumper J, Hassabis D, Kohli P, Avsec Ž.
    design
    Journal publication
    urls

    https://pubmed.ncbi.nlm.nih.gov/37733863/ · https://doi.org/10.1126/science.adg7492

    quotes
    None recorded
    summary
    Reference associated with AI-Driven Protein Structure Prediction (AlphaFold).
    related Versions
    None recorded
    limitation
    Bibliographic metadata matched; scientific claims await appraisal.
    citation Count
    Not recorded
    source Pages
    None recorded
    doi
    10.1126/science.adg7492
    pmid
    37733863
    targets
    None recorded
    categories

    Hyperspectral Imaging

    source References
    1. ref
      NPL-213
      record Id
      hsi-adeb0509f25117
      source Type
      Journal publication
      title
      Accurate proteome-wide missense variant effect prediction with AlphaMissense.
      authors
      Cheng J, Novati G, Pan J, Bycroft C, Žemgulytė A, Applebaum T, Pritzel A, Wong LH, Zielinski M, Sargeant T, Schneider RG, Senior AW, Jumper J, Hassabis D, Kohli P, Avsec Ž.
      year
      2023
      journal
      Science (New York, N.Y.)
      doi
      10.1126/science.adg7492
      pmid
      37733863
      pmcid
      Not recorded
      patent Number
      Not recorded
      original Assignee
      Not recorded
      original Citation
      Cheng J, Novati G, Pan J et al. (2023). "Accurate proteome-wide missense variant effect prediction with AlphaMissense." Science 381(6664):eadg7492. DOI: 10.1126/science.adg7492 — 71 million missense variants classified across human proteome; 89% categorised as likely benign or likely pathogenic
      original Section
      AI-Driven Protein Structure Prediction (AlphaFold)
      metadata Status
      metadata-matched
      claim Review
      Not independently appraised
      source URL
      https://www.notion.so/3807b9c99c5680599be7d8337c817b15
      publication URL
      https://pubmed.ncbi.nlm.nih.gov/37733863/
      metadata URL
      https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=DOI%3A%2210.1126%2Fscience.adg7492%22&format=json&resultType=core&pageSize=4
      corrections
      None recorded
      topic Id
      imaging-transcriptomics
      role
      Focused chapter source
    source Type
    Journal publication
    source Verification
    Bibliographic metadata matched; scientific claims await appraisal.
    collection
    general
    chapter Number
    11
    topic Id
    imaging-transcriptomics
    topic Title
    Imaging, Transcriptomics and Gene Regulation
    trust Score
    Not recorded
    paper Trust Assessment
    scope
    Paper
    status
    unassessed
    score
    Not recorded
    basis
    Bibliographic identity checks do not establish study design, blinding or evidential strength.
jadad
status
unassessed
score
Not recorded
condition Evidence
None recorded
conditions
None recorded
topic Trust Scores
None recorded
full Text
status
not-indexed
retrieval Available
false

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