Article

Integrative Gene Target Mapping, RNA Sequencing, In Silico Molecular Docking, ADMET Profiling and Molecular Dynamics Simulation Study of Marine Derived Molecules for Type 1 Diabetes Mellitus

2025-09-18

Abstract excerpt

<title>Abstract</title> <p>Type 1 diabetes mellitus (T1DM) is a metabolic disease leading threat to human health around the world. Here we aimed to explore new biomarkers and potential therapeutic targets in T1DM through adopting integrated bioinformatics tools. The gene expression Omnibus (GEO) database was used to obtain next generation sequencing data of T1DM and normal control samples. Furthermore, differenti...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: b7b8462a-bfe5-53b2-bd60-f616fed703bb
DOI: 10.21203/rs.3.rs-7640932/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Integrative Gene Target Mapping, RNA Sequencing, In Silico Molecular Docking, ADMET Profiling and Molecular Dynamics Simulation Study of Marine Derived Molecules for Type 1 Diabetes MellitusDOI 10.21203/rs.3.rs-7640932/v1Read

Identification and analysis of key genes and signaling pathways associated with Type 1 diabetes mellitus by bioinformatics analysis of next generation sequencing dataSemantic proximity Read

Bioinformatics Analysis of next generation sequencing data for Risk Prediction in Patients with Type 1 diabetes mellitusSemantic proximity Read

Single-Cell RNA Sequencing Analysis of Key Candidate Genes; Molecular Modeling and Docking-Based Therapeutic Molecules Exploration of Nature Derived Phytoconstituents for Type 2 Diabetes Mellitus.Semantic proximity Read

Transcriptome-Wide Identification of Hub Genes and Therapeutic Targets in Type 2 Diabetes Mellitus Through Integrated Bioinformatics and Molecular Docking-Based Drug RepurposingSemantic proximity Read

Elucidating the Type 2 Diabetes Regulatory Network: Identification of EGFR as a Key Hub and Novel Drug CandidatesSemantic proximity Read

Multi-omics regulatory networks reveal the key driver genes in the development of type 2 diabetesSemantic proximity Read

Identification of candidate biomarkers and pathways associated with type 1 diabetes mellitus using bioinformatics analysisSemantic proximity Read

Analysis of key genes and pathways associated with the pathogenesis of Type 2 diabetes mellitusSemantic proximity Read

Bioinformatics Analysis of Next Generation Sequencing Data Identifies Molecular Biomarkers Associated With Type 2 Diabetes MellitusSemantic proximity Read

Epidermal growth factor receptor (EGFR) as a key regulator in type 2 diabetes: Drug discovery insightsSemantic proximity Read

Uncovering the gene regulatory network of type 2 diabetes through multi-omic data integrationSemantic proximity Read