Evidence map›Paper›PMID 40650987›Full record

ArticleBioinformatics (Oxford, England)2025

Rebuttal letter of the "comment on "contrastive pre-training and 3D convolution neural network for RNA and small molecule binding affinity prediction" by Sun and Gao".

Saisai Sun

Abstract readEditorialComment
In one paragraph

Article in Bioinformatics (Oxford, England), 2025. 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

5 · Who and what money

Authors and funding

1 author.

Saisai SunSchool of Computer Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China.ORCID 0009-0004-6090-3030

Funding

Natural Science Basic Research Program of Shaanxi Province 2023-JC-QN-0707Young Scientists Fund of the National Natural Science Foundation of China 62302357
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID40650987
PMCPMC12267133

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.