Evidence map›Paper›PMID 42732036›Full record

ArticleMolecular diversity2026

Lipase ITB 2.1: a structure- and function-validated model for anti-obesity drug screening.

Ilma Fauziah Ma'ruf, Teni Ernawati, Faris Hermawan, Akhmaloka Akhmaloka, Fida Madayanti Warganegara, Made Puspasari Widhiastuty, Elvi Restiawaty, Hesti Lina Wiraswati, Ahmad Wibisana, Tjandrawati Mozef and 3 more

Abstract read
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Article in Molecular diversity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

13 authors.

Ilma Fauziah Ma'rufResearch Center for Pharmaceutical Ingredients and Traditional Medicine, National Research and Innovation Agency, Bogor, 16911, West Java, Indonesia. ilma005@brin.go.id.
Teni ErnawatiResearch Center for Pharmaceutical Ingredients and Traditional Medicine, National Research and Innovation Agency, Bogor, 16911, West Java, Indonesia.
Faris HermawanResearch Center for Pharmaceutical Ingredients and Traditional Medicine, National Research and Innovation Agency, Bogor, 16911, West Java, Indonesia.
Akhmaloka AkhmalokaBiochemistry and Biomolecule Engineering Research Group, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Bandung, 40132, West Java, Indonesia.
Fida Madayanti WarganegaraBiochemistry and Biomolecule Engineering Research Group, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Bandung, 40132, West Java, Indonesia.
Made Puspasari WidhiastutyBiochemistry and Biomolecule Engineering Research Group, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Bandung, 40132, West Java, Indonesia.
Elvi RestiawatyDepartment of Chemical Engineering, Faculty of Industrial Technology, Institut Teknologi Bandung, Bandung, 40132, Indonesia.
Hesti Lina WiraswatiDepartment of Biomedical Sciences, Faculty of Medicine, Universitas Padjadjaran, Sumedang, West Java, Indonesia.
Ahmad WibisanaResearch Center for Process Technology, National Research and Innovation Agency, Tangerang Selatan, 15314, Banten, Indonesia.
Tjandrawati MozefResearch Center for Pharmaceutical Ingredients and Traditional Medicine, National Research and Innovation Agency, Bogor, 16911, West Java, Indonesia.
Nur Akmalia HidayatiResearch Center for Applied Microbiology, National Research and Innovation Agency, Bogor, 16911, West Java, Indonesia.
Titin HaryatiResearch Center for Applied Microbiology, National Research and Innovation Agency, Bogor, 16911, West Java, Indonesia.
Dimas Frananta SimatupangDepartment of Chemical Engineering, Politeknik Teknologi Kimia Industri, Medan, 20228, North Sumatra, Indonesia.

Funding

Badan Riset dan Inovasi Nasional B-5647/II.7.5/RT.01.01/4/2025
6 · The paper itself

Abstract

Lipases are key enzymes in lipid metabolism and represent important therapeutic targets for obesity and metabolic disorders. This study integrates sequence analysis, structural modelling, molecular docking, molecular dynamics simulations, and enzymatic assays to elucidate evolutionary conservation and the inhibitory mechanism of orlistat against lipase ITB 2.1. Multiple sequence alignment revealed strong conservation of catalytic serine residue at the nucleophilic elbow across bacterial, fungal, and mammalian lipases, with rare AXSXG motif substitutions in Bacillus and Geobacillus species, indicating adaptive structural variation. Phylogenetic and distance analyses demonstrated clear evolutionary clustering while revealing unexpected relationships among mammalian, fungal, and bacterial lipases, suggesting functional convergence. Superimposition of 3-dimensional structure confirmed preservation of the α/β-hydrolase fold and highlighted lid-dependent conformational changes that regulate active-site accessibility. Molecular docking showed substantially stronger binding of orlistat to the open-lid conformation than to the closed state, with lipase ITB 2.1 exhibiting the most favourable binding affinity among the analysed enzymes. Molecular dynamics simulations (100 ns) confirmed stable ligand-enzyme complexes, with monoacylglycerol lipase and pancreatic lipase displaying the highest structural stability, while lipase ITB 2.1 maintained consistent compactness and ligand retention. Enzymatic inhibition assays experimentally validated the computational predictions, demonstrating kinetic value with Vmax 1428 µM/min; Km 81 µM and complete inhibition at 56.25 µM orlistat. Collectively, these findings establish lipase ITB 2.1 as a robust model for lipase inhibition and drug screening studies.

Indexed as

Anti-obesity drug screeningLipaseOrlistat inhibitionStructure–function relationship

Identifiers

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Registered trials

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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.