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web server nginx v.1.16.1  (NGINX Inc)

 
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    Structured Review

    NGINX Inc web server nginx v.1.16.1
    Workflow for the construction of <t>AlgicideDB,</t> including algicide and algae information collection, algicide-likeness scoring, aquatic toxicity assessment, and the development of RAG-based LLM.
    Web Server Nginx V.1.16.1, supplied by NGINX Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/web+server+nginx+v%2E1%2E16%2E1/pmc12213500-63-1-7?v=NGINX+Inc
    Average 90 stars, based on 1 article reviews
    web server nginx v.1.16.1 - by Bioz Stars, 2026-08
    90/100 stars

    Images

    1) Product Images from "AlgicideDB: a comprehensive database enhanced by large language models for algicide management and discovery"

    Article Title: AlgicideDB: a comprehensive database enhanced by large language models for algicide management and discovery

    Journal: Frontiers in Microbiology

    doi: 10.3389/fmicb.2025.1611403

    Workflow for the construction of AlgicideDB, including algicide and algae information collection, algicide-likeness scoring, aquatic toxicity assessment, and the development of RAG-based LLM.
    Figure Legend Snippet: Workflow for the construction of AlgicideDB, including algicide and algae information collection, algicide-likeness scoring, aquatic toxicity assessment, and the development of RAG-based LLM.

    Techniques Used: Algae

    Chemical profiles and sources of algicides in AlgicideDB. (a) Distribution of 542 algicides based on their sources, including natural (plants, microorganisms, and animals) and non-natural origins (laboratory synthetic and commercial products). (b) Number of algicides across different chemical classes derived from natural sources (left bars) and the number of algal taxa targeted by each class (right bars). The colors in the right bars represent the distribution of algal phyla. (c) Molecular property distributions of algicides including molecular weight (MolWt), octanol-water partition coefficient (MolLogP), number of rotatable bonds, number of aromatic rings, number of hydrogen bond acceptors, and number of hydrogen bond donors. The red lines indicate median values for each descriptor.
    Figure Legend Snippet: Chemical profiles and sources of algicides in AlgicideDB. (a) Distribution of 542 algicides based on their sources, including natural (plants, microorganisms, and animals) and non-natural origins (laboratory synthetic and commercial products). (b) Number of algicides across different chemical classes derived from natural sources (left bars) and the number of algal taxa targeted by each class (right bars). The colors in the right bars represent the distribution of algal phyla. (c) Molecular property distributions of algicides including molecular weight (MolWt), octanol-water partition coefficient (MolLogP), number of rotatable bonds, number of aromatic rings, number of hydrogen bond acceptors, and number of hydrogen bond donors. The red lines indicate median values for each descriptor.

    Techniques Used: Derivative Assay, Molecular Weight



    Similar Products

    web server nginx v.1.16.1  (NGINX Inc)
    90
    NGINX Inc web server nginx v.1.16.1
    Workflow for the construction of <t>AlgicideDB,</t> including algicide and algae information collection, algicide-likeness scoring, aquatic toxicity assessment, and the development of RAG-based LLM.
    Web Server Nginx V.1.16.1, supplied by NGINX Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/web+server+nginx+v%2E1%2E16%2E1/pmc12213500-63-1-7?v=NGINX+Inc
    Average 90 stars, based on 1 article reviews
    web server nginx v.1.16.1 - by Bioz Stars, 2026-08
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Workflow for the construction of AlgicideDB, including algicide and algae information collection, algicide-likeness scoring, aquatic toxicity assessment, and the development of RAG-based LLM.

    Journal: Frontiers in Microbiology

    Article Title: AlgicideDB: a comprehensive database enhanced by large language models for algicide management and discovery

    doi: 10.3389/fmicb.2025.1611403

    Figure Lengend Snippet: Workflow for the construction of AlgicideDB, including algicide and algae information collection, algicide-likeness scoring, aquatic toxicity assessment, and the development of RAG-based LLM.

    Article Snippet: The AlgicideDB platform is hosted on an Nginx (v.1.16.1) web server ( http://nginx.org/ ) running on a CentOS 7.4.1,708 system.

    Techniques: Algae

    Chemical profiles and sources of algicides in AlgicideDB. (a) Distribution of 542 algicides based on their sources, including natural (plants, microorganisms, and animals) and non-natural origins (laboratory synthetic and commercial products). (b) Number of algicides across different chemical classes derived from natural sources (left bars) and the number of algal taxa targeted by each class (right bars). The colors in the right bars represent the distribution of algal phyla. (c) Molecular property distributions of algicides including molecular weight (MolWt), octanol-water partition coefficient (MolLogP), number of rotatable bonds, number of aromatic rings, number of hydrogen bond acceptors, and number of hydrogen bond donors. The red lines indicate median values for each descriptor.

    Journal: Frontiers in Microbiology

    Article Title: AlgicideDB: a comprehensive database enhanced by large language models for algicide management and discovery

    doi: 10.3389/fmicb.2025.1611403

    Figure Lengend Snippet: Chemical profiles and sources of algicides in AlgicideDB. (a) Distribution of 542 algicides based on their sources, including natural (plants, microorganisms, and animals) and non-natural origins (laboratory synthetic and commercial products). (b) Number of algicides across different chemical classes derived from natural sources (left bars) and the number of algal taxa targeted by each class (right bars). The colors in the right bars represent the distribution of algal phyla. (c) Molecular property distributions of algicides including molecular weight (MolWt), octanol-water partition coefficient (MolLogP), number of rotatable bonds, number of aromatic rings, number of hydrogen bond acceptors, and number of hydrogen bond donors. The red lines indicate median values for each descriptor.

    Article Snippet: The AlgicideDB platform is hosted on an Nginx (v.1.16.1) web server ( http://nginx.org/ ) running on a CentOS 7.4.1,708 system.

    Techniques: Derivative Assay, Molecular Weight