Evidence map›Paper›PMID 38138586›Full record

ArticleMolecules (Basel, Switzerland)2023

Prediction of Thermostability of Enzymes Based on the Amino Acid Index (AAindex) Database and Machine Learning.

Gaolin Li, Lili Jia, Kang Wang, Tingting Sun, Jun Huang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 26% of its field
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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

5 authors at 2 institutions in 1 country.

Gaolin LiSchool of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China.
Lili JiaState Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 311400, China.
Kang WangDepartment of Physics, Zhejiang University of Science and Technology, Hangzhou 310023, China.
Tingting SunDepartment of Physics, Zhejiang University of Science and Technology, Hangzhou 310023, China.ORCID 0000-0003-1388-3458
Jun HuangSchool of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China.
Zhejiang University of Science and Technology · CNChina National Rice Research Institute · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The combination of wet-lab experimental data on multi-site combinatorial mutations and machine learning is an innovative method in protein engineering. In this study, we used an innovative sequence-activity relationship (innov'SAR) methodology based on novel descriptors and digital signal processing (DSP) to construct a predictive model. In this paper, 21 experimental (

Indexed as

Amino AcidsProtein EngineeringEnzyme StabilityMachine LearningMolecular Dynamics SimulationTransaminasesAmino AcidsTransaminasesartificial intelligencedirected evolutionextended sequencemachine learningmolecular dynamics simulationthermostability

Identifiers

PMID38138586
PMCPMC10746113
OpenAlexW4389819097

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.