FuzzyPPI: Large-Scale Interaction of Human Proteome at Fuzzy Semantic Space

AK Halder, SS Bandyopadhyay… - … Transactions on Big …, 2024 - ieeexplore.ieee.org
Large-scale protein-protein interaction (PPI) network of an organism provides key insights
into its cellular and molecular functionalities, signaling pathways and underlying disease …

DensePPI: A Novel Image-Based Deep Learning Method for Prediction of Protein–Protein Interactions

AA Halsana, T Chakroborty… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Protein–protein interactions (PPI) are crucial for understanding the behaviour of living
organisms and identifying disease associations. This paper proposes DensePPI, a novel …

Computational modeling of human-nCoV protein-protein interaction network

S Saha, AK Halder, SS Bandyopadhyay, P Chatterjee… - Methods, 2022 - Elsevier
Abstract Novel coronavirus (SARS-CoV2) replicates the host cell's genome by interacting
with the host proteins. Due to this fact, the identification of virus and host protein–protein …

FuzzyPPI: Human Proteome at Fuzzy Semantic Space

AK Halder, SS Bandyopadhyay, W Jedrzejewski… - bioRxiv, 2023 - biorxiv.org
Large scale protein-protein interaction (PPI) network of an organism provides key insights
into its cellular and molecular functionalities, signaling pathways and underlying disease …

MultiNet: A Diffusion-Based Approach to Assign Directionality in Protein Interactions Using a Consensus of Eight Protein Interaction Datasets

K Sengupta, A Gambin, S Basu… - … of International Conference …, 2022 - Springer
Protein–protein interaction network (PPIN) plays a major role in information processing and
decision making in cells. The PPIN works as a skeleton for cell signaling and functionality …

Using the Duplication-Divergence Network Model to Predict Protein-Protein Interactions

N López-Rozo, J Finke, C Rocha - International Conference on Complex …, 2022 - Springer
Interactions between proteins are key to most biological processes, but thorough testing can
be costly in terms of money and time. Computational approaches for predicting such …