PRODOC: a resource for the comparison of tethered protein domain architectures with in-built information on remotely related domain families. - Oruganty Krishnadev; N. Rekha; Shashi B. Pandit; S. Abhiman; Smita Mohanty; L. S. Swapna; Swanand P. Gore; Narayanaswamy Srinivasan (Nucleic Acids Res., 2005)

How effective is the data on co-occurrence of domains in multi-domain proteins in prediction of protein-protein interactions? - Smita Mohanty; Narayanaswamy Srinivasan (GENSiPS, 2009)

Influence of Genomic and Other Biological Data Sets in the Understanding of Protein Structures, Functions and Interactions. - Narayanaswamy Srinivasan; Garima Agarwal; Ramachandra M. Bhaskara; Rupali A. Gadkari; Oruganty Krishnadev; B. Lakshmi; Swapnil Mahajan; Smita Mohanty; Richa Mudgal; R. Rakshambikai; Sankaran Sandhya; G. Sudha; et al. (Int. J. Knowl. Discov. Bioinform., 2011)

Predicting Tuberculosis Related Lung Deformities from CT Scan Images Using 3D CNN. - Anup Pattnaik; Sarthak Kanodia; Rahul Chowdhury; Smita Mohanty (CLEF (Working Notes), 2019)

A novel chaotic flower pollination algorithm for modelling an optimized low-complexity neural network-based NAV predictor model. - Smita Mohanty; Rajashree Dash (Prog. Artif. Intell., 2022)

Evaluating chaotic functions with flower pollination algorithm for modelling an optimized low complexity neural network based NAV predictor model. - Smita Mohanty; Rajashree Dash (Soft Comput., 2022)

A flower pollination algorithm based Chebyshev polynomial neural network for net asset value prediction. - Smita Mohanty; Rajashree Dash (Evol. Intell., 2023)

Clinical trial recommendations using Semantics-Based inductive inference and knowledge graph embeddings. - Murthy V. Devarakonda; Smita Mohanty; Raja Rao Sunkishala; Nag Mallampalli; Xiong Liu 001 (J. Biomed. Informatics, 2024)

RVFLN-CDFPA: a random vector functional link neural network optimized using a chaotic differential flower pollination algorithm for day ahead Net Asset Value prediction. - Smita Mohanty; Rajashree Dash (Evol. Syst., 2024)