Softwar Developed Details
S.No. Software Name Web Address Publicly Available Architecture Details/Flowchart Publication for Developed Database Min System Requirement Other Details
1 PTFSpot https://scbb.ihbt.res.in/PTFSpot/ Yes http://14.139.62.220/software_uploads/91.jpeg http://14.139.62.220/published_databases/408.pdf Linux, 4GB RAM, python3 PTFSpot: A universal approach to TFBRs identification in plants
2 MDbDMRP https://github.com/Daroch-Amit/MDbDMRP Yes http://14.139.62.220/software_uploads/407.png http://14.139.62.220/published_databases/406.pdf Linux, 4GB RAM, python3 MDbDMRP: A novel molecular descriptor-based computational model to identify drug-miRNA relationships
3 Repository: Comprehensive analysis of computational approaches in plant transcription factors binding regions discovery https://github.com/SCBB-LAB/Comparative-analysis-of-plant-TFBS-software Yes http://14.139.62.220/software_uploads/411.jpeg http://14.139.62.220/published_databases/410.pdf Linux, 4GB RAM, python3 Comprehensive analysis of computational approaches in plant transcription factors binding regions discovery
4 miRBiom https://scbb.ihbt.res.in/miRbiom-webserver/ Yes http://14.139.62.220/software_uploads/581.png http://14.139.62.220/published_databases/582.pdf Mac OS, Windows, Linux, 4GB RAM, python3 A novel algorithms to accurately predict miRNA profiles in the absence of profiling experiments
5 RBPSpot https://scbb.ihbt.res.in/RBPSpot/ Yes http://14.139.62.220/software_uploads/584.jpg http://14.139.62.220/published_databases/583.pdf Mac OS, Windows, Linux, 4GB RAM, python3 RBPSpot can identify RBP binding sites in the human system and can also be used to develop new models, making it a valuable resource in the area of regulatory system studies.
6 DeepPlnc https://scbb.ihbt.res.in/DeepPlnc/ Yes http://14.139.62.220/software_uploads/585.jpg http://14.139.62.220/published_databases/586.pdf Mac OS, Windows, Linux, 4GB RAM, python3 A bi-modal CNN based deep-learning system, DeepPlnc, to identify plant lncRNAs with high accuracy while using sequence and structural properties.
7 miWords https://scbb.ihbt.res.in/miWords/index.php Yes http://14.139.62.220/software_uploads/588.png http://14.139.62.220/published_databases/587.pdf Mac OS, Windows, Linux, 4GB RAM, python3 miWords, a composite deep learning system of transformers and convolutional neural networks which sees genome as a pool of sentences made of words with specific occurrence preferences and contexts, to accurately identify pre-miRNA regions across plant genomes.
8 RicePathDLNet https://fgcsl.ihbt.res.in/RicePathDLNet/ Yes http://14.139.62.220/software_uploads/590.png http://14.139.62.220/published_databases/591.pdf Mac OS, Windows, Linux, 4GB RAM, python3 A deep learning-based rice network model that has explored the quantitative differences resulting in the distinct rice network architecture.
9 A-HIOT https://gitlab.com/neeraj-24/A-HIOT Yes http://14.139.62.220/software_uploads/593.png http://14.139.62.220/published_databases/592.pdf Mac OS, Windows, Linux, 4GB RAM, python3 The A-HIOT is a reliable approach for bridging the long-standing gap between ligand-based and structure-based VS and finding optimized hits for the desired or fixed receptor.