bioRxivBioinformaticsPreprint
SieveAI: Development of an Automated extensible and customisable drug discovery pipeline and its validation
Vishal Kumar SahuiD, Anshuman Sand, Sangeeta BallaviD, Vajrini Raman, Shuchi NagariD, Amit RanjaniD, Soumya BasuiD
Abstract
Systematic Interaction Evaluation and Virtual Enhancement Analysis Interface (SieveAI) is an automated drug discovery pipeline developed to enhance the efficiency of virtual screening and computer-aided drug discovery processes. The molecular docking workflow encompasses acquiring, modeling, and pre-processing of molecular structure files, conducting docking with various algorithms, and subsequent analysis and interpretation of the outcomes by visualising or tabulating the results. While several open-source software tools are available to assist these operations at different steps of molecular docking, they often necessitate manual user intervention at every stage. To streamline and automate this extensive manual process and develop a comprehensive solution, we have developed an innovative, fully extensible, molecular docking pipeline SieveAI ((C)L-129927/2023). The same has been demonstrated in this manuscript. SieveAI works with a range of open-source libraries, packages, and programs to facilitate automated drug discovery using established programs and software. The package is accessible at https://miRNA.in/SieveAI.
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- BioChemAIgent: An AI-driven Protein Modeling and Docking Framework for Structure-Based Drug Discovery
Behnam Yousefi, Nora Constanze Laubach, … Stefan Bonn·bioRxiv·Jan 22, 2026
- FlexAutoDock: A Flexible Platform for Automated Molecular Docking and Virtual Screening of Natural and Synthetic Compounds
Feroj Ahmed, Fahim Faysal, … Nurul Haque Mollah·bioRxiv·Aug 19, 2026
- Navigating Chemical Space By Interfacing Generative Artificial Intelligence and Molecular Docking
Z. Xu, O. R. Wauchope, A. T. Frank·bioRxiv·Jun 9, 2020
- MolClaw: An Autonomous Agent with Hierarchical Skills for Drug Molecule Evaluation, Screening, and Optimization
Lisheng Zhang, Lilong Wang, … Zhengwei Xie·bioRxiv·Apr 6, 2026
- Deep Docking - a Deep Learning Approach for Virtual Screening of Big Chemical Datasets
Francesco Gentile, Vibudh Agrawal, … Artem R Cherkasov·ACS Central SciencePeer-reviewed·May 19, 2020
- Large Language Model Agent for Modular Task Execution in Drug Discovery
Janghoon Ock, Radheesh Sharma Meda, … Amir Barati Farimani·Journal of Chemical Information and ModelingPeer-reviewed·Feb 9, 2026