Anti-biofilm: Machine learning assisted prediction of IC50 activity of chemicals against biofilms of microbes causing antimicrobial resistance and implications in drug …

A Rajput, KT Bhamare, A Thakur, M Kumar - Journal of Molecular Biology, 2023 - Elsevier
Biofilms are one of the leading causes of antibiotic resistance. It acts as a physical barrier
against the human immune system and drugs. The use of anti-biofilm agents helps in …

Using Chou's general PseAAC to analyze the evolutionary relationship of receptor associated proteins (RAP) with various folding patterns of protein domains

SM Krishnan - Journal of theoretical biology, 2018 - Elsevier
The receptor-associated protein (RAP) is an inhibitor of endocytic receptors that belong to
the lipoprotein receptor gene family. In this study, a computational approach was tried to find …

Protein subcellular localization prediction using multiple kernel learning based support vector machine

MAM Hasan, S Ahmad, MKI Molla - Molecular BioSystems, 2017 - pubs.rsc.org
Predicting the subcellular locations of proteins can provide useful hints that reveal their
functions, increase our understanding of the mechanisms of some diseases, and finally aid …

In silico analyses of conservational, functional and phylogenetic distribution of the LuxI and LuxR homologs in Gram-positive bacteria

A Rajput, M Kumar - Scientific Reports, 2017 - nature.com
LuxI and LuxR are key factors that drive quorum sensing (QS) in bacteria through secretion
and perception of the signaling molecules eg N-Acyl homoserine lactones (AHLs). The role …

VirusHound-I: prediction of viral proteins involved in the evasion of host adaptive immune response using the random forest algorithm and generative adversarial …

JF Beltrán, LH Belén, JG Farias… - Briefings in …, 2024 - academic.oup.com
Throughout evolution, pathogenic viruses have developed different strategies to evade the
response of the adaptive immune system. To carry out successful replication, some …

A database resource and online analysis tools for coronaviruses on a historical and global scale

Z Zhu, K Meng, G Liu, G Meng - Database, 2020 - academic.oup.com
The recent outbreak of COVID-19 caused by a new zoonotic origin coronavirus (SARS-CoV-
2 or 2019-nCoV) has sound the alarm for the potential spread of epidemic coronavirus …

E-mula: an ensemble multi-localized attention feature extraction network for viral protein subcellular localization

GM Bakanina Kissanga, H Zulfiqar, S Gao, SB Yussif… - Information, 2024 - mdpi.com
Accurate prediction of subcellular localization of viral proteins is crucial for understanding
their functions and developing effective antiviral drugs. However, this task poses a …

Diversity in the accessory proteins of SARS-CoV-2, SARS-CoV, and MERS-CoV Betacoronaviruses

CAK Cruz, PMB Medina - Current Protein and Peptide Science, 2021 - benthamdirect.com
Along with structural and non-structural proteins, SARS-CoV-2, SARS-CoV, and MERS-CoV
can also express accessory proteins. During the past few years, there have been only a few …

Anti-Ebola: An initiative to predict Ebola virus inhibitors through machine learning

A Rajput, M Kumar - Molecular Diversity, 2022 - Springer
Ebola virus is a deadly pathogen responsible for a frequent series of outbreaks since 1976.
Despite various efforts from researchers worldwide, its mortality and fatality are quite high …

Anti-flavi: A Web Platform to Predict Inhibitors of Flaviviruses Using QSAR and Peptidomimetic Approaches

A Rajput, M Kumar - Frontiers in microbiology, 2018 - frontiersin.org
Flaviviruses are arboviruses, which comprises more than 70 viruses, covering broad
geographic ranges, and responsible for significant mortality and morbidity globally. Due to …