Article in Chemical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
0numbers the graph read from it
0cells of the map it votes in
4citing 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.
Hailey M WallaceDepartment of Pharmaceutical Chemistry, The Cardiovascular Research Institution, University of California San Francisco CA 94158 USA Bill.DeGrado@ucsf.edu Hailey.Wallace@ucsf.edu Hyunjun.Yang@ucsf.edu Sophia.Tan@ucsf.edu Henry.Pan@ucsf.edu Rose.Yang@ucsf.edu Junyixu@berkeley.edu Hyunil.Jo@ucsf.edu Carlo.Condello@ucsf.edu NicholasF_Polizzi@DFCI.harvard.edu.ORCID https://orcid.org/0000-0002-9208-3063
Hyunjun YangDepartment of Pharmaceutical Chemistry, The Cardiovascular Research Institution, University of California San Francisco CA 94158 USA Bill.DeGrado@ucsf.edu Hailey.Wallace@ucsf.edu Hyunjun.Yang@ucsf.edu Sophia.Tan@ucsf.edu Henry.Pan@ucsf.edu Rose.Yang@ucsf.edu Junyixu@berkeley.edu Hyunil.Jo@ucsf.edu Carlo.Condello@ucsf.edu NicholasF_Polizzi@DFCI.harvard.edu.ORCID https://orcid.org/0000-0003-2524-2201
Sophia TanDepartment of Pharmaceutical Chemistry, The Cardiovascular Research Institution, University of California San Francisco CA 94158 USA Bill.DeGrado@ucsf.edu Hailey.Wallace@ucsf.edu Hyunjun.Yang@ucsf.edu Sophia.Tan@ucsf.edu Henry.Pan@ucsf.edu Rose.Yang@ucsf.edu Junyixu@berkeley.edu Hyunil.Jo@ucsf.edu Carlo.Condello@ucsf.edu NicholasF_Polizzi@DFCI.harvard.edu.ORCID https://orcid.org/0000-0002-6181-7810
Henry S PanDepartment of Pharmaceutical Chemistry, The Cardiovascular Research Institution, University of California San Francisco CA 94158 USA Bill.DeGrado@ucsf.edu Hailey.Wallace@ucsf.edu Hyunjun.Yang@ucsf.edu Sophia.Tan@ucsf.edu Henry.Pan@ucsf.edu Rose.Yang@ucsf.edu Junyixu@berkeley.edu Hyunil.Jo@ucsf.edu Carlo.Condello@ucsf.edu NicholasF_Polizzi@DFCI.harvard.edu.ORCID https://orcid.org/0000-0002-1323-037X
Rose YangDepartment of Pharmaceutical Chemistry, The Cardiovascular Research Institution, University of California San Francisco CA 94158 USA Bill.DeGrado@ucsf.edu Hailey.Wallace@ucsf.edu Hyunjun.Yang@ucsf.edu Sophia.Tan@ucsf.edu Henry.Pan@ucsf.edu Rose.Yang@ucsf.edu Junyixu@berkeley.edu Hyunil.Jo@ucsf.edu Carlo.Condello@ucsf.edu NicholasF_Polizzi@DFCI.harvard.edu.ORCID https://orcid.org/0000-0002-2534-0242
Junyi XuDepartment of Pharmaceutical Chemistry, The Cardiovascular Research Institution, University of California San Francisco CA 94158 USA Bill.DeGrado@ucsf.edu Hailey.Wallace@ucsf.edu Hyunjun.Yang@ucsf.edu Sophia.Tan@ucsf.edu Henry.Pan@ucsf.edu Rose.Yang@ucsf.edu Junyixu@berkeley.edu Hyunil.Jo@ucsf.edu Carlo.Condello@ucsf.edu NicholasF_Polizzi@DFCI.harvard.edu.ORCID https://orcid.org/0009-0006-0535-6892
Hyunil JoDepartment of Pharmaceutical Chemistry, The Cardiovascular Research Institution, University of California San Francisco CA 94158 USA Bill.DeGrado@ucsf.edu Hailey.Wallace@ucsf.edu Hyunjun.Yang@ucsf.edu Sophia.Tan@ucsf.edu Henry.Pan@ucsf.edu Rose.Yang@ucsf.edu Junyixu@berkeley.edu Hyunil.Jo@ucsf.edu Carlo.Condello@ucsf.edu NicholasF_Polizzi@DFCI.harvard.edu.ORCID https://orcid.org/0000-0002-4863-0779
William F DeGradoDepartment of Pharmaceutical Chemistry, The Cardiovascular Research Institution, University of California San Francisco CA 94158 USA Bill.DeGrado@ucsf.edu Hailey.Wallace@ucsf.edu Hyunjun.Yang@ucsf.edu Sophia.Tan@ucsf.edu Henry.Pan@ucsf.edu Rose.Yang@ucsf.edu Junyixu@berkeley.edu Hyunil.Jo@ucsf.edu Carlo.Condello@ucsf.edu NicholasF_Polizzi@DFCI.harvard.edu.ORCID https://orcid.org/0000-0003-4745-263X
Funding
VIRAL DEGENERATIVE DEMENTING DISEASE IN AGING (SUPP)P01AG002132 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SALI, ANDREJ · 1985 to 2024
$51.7M
Deciphering the relationship between structure, dynamics and function in helical bundle proteinsR35GM122603 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WILLIAM DEGRADO · 2017 to 2026
$7.1M
Research Training in Chemistry and Chemical BiologyT32GM145460 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Jason E Gestwicki · 2022 to 2026
$3.1M
Relationships between conformational strains of tau and amyloid-beta, TREM2 and APOE variants, and phenotypic variations of Alzheimer's DiseaseRF1AG061874 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CONDELLO, CARLO L, DEGRADO, WILLIAM · 2018 to 2018
$2.0M
Molecular Biophysics Training GrantT32GM149436 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Aashish Manglik · 2023 to 2026
$1.6M
De novo design of small-molecule-binding proteinsR00GM135519 · NIGMS · DANA-FARBER CANCER INST · PI POLIZZI, NICHOLAS · 2022 to 2024
$747k
De novo design of small-molecule-binding proteinsK99GM135519 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI POLIZZI, NICHOLAS · 2020 to 2021
Insoluble amyloids rich in cross-β fibrils are observed in a number of neurodegenerative diseases. Depending on the clinicopathology, the amyloids can adopt distinct supramolecular assemblies, termed conformational strains. However, rapid methods to study amyloids in a conformationally specific manner are lacking. We introduce a novel computational method for
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.