Evidence map›Paper›PMID 38002353›Full record

ArticleBiomolecules2023

AI-Based Homology Modelling of Fatty Acid Transport Protein 1 Using AlphaFold: Structural Elucidation and Molecular Dynamics Exploration.

Ranjitha Acharya, Shilpa S Shetty, Gollapalli Pavan, Flama Monteiro, Manne Munikumar, Sriram Naresh, Nalilu Suchetha Kumari

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Insulin Resistance and Inflammation.International journal of molecular sciences · 2026
    Review
  3. Article
  4. Article
  5. 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

7 authors at 2 institutions in 1 country.

Ranjitha AcharyaDepartment of Biochemistry, KS Hegde Medical Academy, Nitte (Deemed to be University), Mangalore 575018, India.
Shilpa S ShettyCentral Research Laboratory, KS Hegde Medical Academy, Nitte (Deemed to be University), Mangalore 575018, India.ORCID 0000-0002-5832-5567
Gollapalli PavanCentral Research Laboratory, KS Hegde Medical Academy, Nitte (Deemed to be University), Mangalore 575018, India.ORCID 0000-0002-7252-1564
Flama MonteiroDepartment of Biochemistry, KS Hegde Medical Academy, Nitte (Deemed to be University), Mangalore 575018, India.
Manne MunikumarClinical Division, ICMR-National Institute of Nutrition, Jamai-Osmania (Post), Hyderabad 500007, India.ORCID 0000-0003-1838-122X
Sriram NareshDepartment of Biochemistry, KS Hegde Medical Academy, Nitte (Deemed to be University), Mangalore 575018, India.
Nalilu Suchetha KumariDepartment of Biochemistry, KS Hegde Medical Academy, Nitte (Deemed to be University), Mangalore 575018, India.
K S Hegde Medical Academy · INNational Institute of Nutrition · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fatty acid transport protein 1 (FATP1) is an integral transmembrane protein that is involved in facilitating the translocation of long-chain fatty acids (LCFA) across the plasma membrane, thereby orchestrating the importation of LCFA into the cell. FATP1 also functions as an acyl-CoA ligase, catalyzing the ATP-dependent formation of fatty acyl-CoA using LCFA and VLCFA (very-long-chain fatty acids) as substrates. It is expressed in various types of tissues and is involved in the regulation of crucial signalling pathways, thus playing a vital role in numerous physiological and pathological conditions. Structural insight about FATP1 is, thus, extremely important for understanding the mechanism of action of this protein and developing efficient treatments against its anomalous expression and dysregulation, which are often associated with pathological conditions such as breast cancer. As of now, there has been no prior prediction or evaluation of the 3D configuration of the human FATP1 protein, hindering a comprehensive understanding of the distinct functional roles of its individual domains. In our pursuit to unravel the structure of the most commonly expressed isoforms of FATP1, we employed the cutting-edge ALPHAFOLD 2 model for an initial prediction of the entire protein's structure. This prediction was complemented by molecular dynamics simulations, focusing on the most promising model. We predicted the structure of FATP1 in silico and thoroughly refined and validated it using coarse and molecular dynamics in the absence of the complete crystal structure. Their relative dynamics revealed the different properties of the characteristic FATP1.

Indexed as

Fatty Acid Transport ProteinsMolecular Dynamics SimulationArtificial IntelligenceFatty AcidsHumansMembrane ProteinsFatty AcidsFatty Acid Transport ProteinsMembrane ProteinsFATP1LCFAmolecular dynamic simulationsVLCFA

Identifiers

PMID38002353
PMCPMC10669040
OpenAlexW4388834195

What OpenQuestion holds

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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.