Evidence map›Paper›PMID 42146411›Full record

ArticlebioRxiv : the preprint server for biology2026

Integrating Diffusion and Liquid AI Models for Predicting Peptide Affinity from mRNA Display Selections.

Colin M Leaf, Pearl Qi, Yash Pragnesh Gandhi, Farzad Jalali-Yazdi, Justin N Ong, Terry T Takahashi, Rajiv K Kalia, Richard W Roberts

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Colin M LeafDepartment of Chemistry, University of Southern California, Los Angeles, California, 90089, USA.ORCID 0009-0001-9687-548X
Pearl QiMork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, California, 90089, USA.ORCID 0009-0007-0076-0500
Yash Pragnesh GandhiThomas Lord Department of Computer Science, University of Southern California, Los Angeles, California, 90089, USA.
Farzad Jalali-YazdiMork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, California, 90089, USA.ORCID 0000-0002-0291-3482
Justin N OngMork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, California, 90089, USA.ORCID 0009-0003-8966-7935
Terry T TakahashiDepartment of Chemistry, University of Southern California, Los Angeles, California, 90089, USA.ORCID 0000-0002-6835-242X
Rajiv K KaliaMork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, California, 90089, USA.ORCID 0000-0002-8835-5249
Richard W RobertsDepartment of Chemistry, University of Southern California, Los Angeles, California, 90089, USA.ORCID 0000-0002-8587-5097

Funding

USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Fumito Ito · 1985 to 2026
$181.4M
Genetically Encoded Probes of Huntingtin MisfoldingR01NS125769 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Jeannie Chen, Ralf Langen · 2022 to 2026
$3.2M
SUPR Peptides to Inhibit Undruggable Cancer Target (PQ18)R01CA170820 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ROBERTS, RICHARD W, TAKAHASHI, TERRY TORAO · 2012 to 2015
$1.8M
Developing novel affinity reagents for methyl-arginine proteomics using mRNA displayR21GM144910 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GRAHAM, NICHOLAS ALEXANDER, TAKAHASHI, TERRY TORAO · 2022 to 2023
$436k
NCI NIH HHS P30 CA014089NCI NIH HHS R01 CA170820NIGMS NIH HHS R21 GM144910NINDS NIH HHS R01 NS125769
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Closed-form Continuous Neural NetworkDenoising Diffusion Implicit NetworkHigh Throughput Sequencing KineticsLiquid AILiquid Time Constant NetworkMachine LearningmRNA Displayprotein design

Identifiers

PMID42146411
PMCPMC13174650

What OpenQuestion 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 OpenQuestion graph.