Publications by authors named "Hamid D Ismail"

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Untargeted Metabolomics of Dairy Cows as Influenced by the Combinations of Essential Oil Blends and Fumaric Acid as Natural Feed Additives Using RUSITEC.
Joel O Alabi, Deborah O Okedoyin, Michael Wuaku, Chika C Anotaenwere, Oludotun O Adelusi, Hamid D Ismail

Metabolites· October 2025

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Narrowing of the Racial Disparities Gap in Survival of Patients With Mycosis Fungoides: A Longitudinal Analysis of the SEER Database.
Britney Le, Noha Soror, Hamid D Ismail, Mohammed Baker, Salman Abu Shetayyah

Clin Lymphoma Myeloma Leuk· July 2025

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CaLMPhosKAN: prediction of general phosphorylation sites in proteins via fusion of codon aware embeddings with amino acid aware embeddings and wavelet-based Kolmogorov-Arnold network.
Pawel Pratyush, Callen Carrier, Suresh Pokharel, Hamid D Ismail, Meenal Chaudhari

Bioinformatics· March 2025

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LMPTMSite: A Platform for PTM Site Prediction in Proteins Leveraging Transformer-Based Protein Language Models.
Pawel Pratyush, Suresh Pokharel, Hamid D Ismail, Soufia Bahmani, Dukka B Kc

Methods Mol Biol· November 2024

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LMCrot: an enhanced protein crotonylation site predictor by leveraging an interpretable window-level embedding from a transformer-based protein language model.
Pawel Pratyush, Soufia Bahmani, Suresh Pokharel, Hamid D Ismail, Dukka B Kc

Bioinformatics· May 2024

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Integrating Embeddings from Multiple Protein Language Models to Improve Protein -GlcNAc Site Prediction.
Suresh Pokharel, Pawel Pratyush, Hamid D Ismail, Junfeng Ma, Dukka B Kc

Int J Mol Sci· November 2023

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LMPhosSite: A Deep Learning-Based Approach for General Protein Phosphorylation Site Prediction Using Embeddings from the Local Window Sequence and Pretrained Protein Language Model.
Subash C Pakhrin, Suresh Pokharel, Pawel Pratyush, Meenal Chaudhari, Hamid D Ismail

J Proteome Res· August 2023

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A Review of the Neutrophil Extracellular Traps (NETs) from Cow, Sheep and Goat Models.
Mulumebet Worku, Djaafar Rehrah, Hamid D Ismail, Emmanuel Asiamah, Sarah Adjei-Fremah

Int J Mol Sci· July 2021

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RF-NR: Random Forest Based Approach for Improved Classification of Nuclear Receptors.
Hamid D Ismail, Hiroto Saigo, Dukka B Kc

IEEE/ACM Trans Comput Biol Bioinform· July 2019

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CNN-BLPred: a Convolutional neural network based predictor for β-Lactamases (BL) and their classes.
Clarence White, Hamid D Ismail, Hiroto Saigo, Dukka B Kc

BMC Bioinformatics· December 2017

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RF-Phos: A Novel General Phosphorylation Site Prediction Tool Based on Random Forest.
Hamid D Ismail, Ahoi Jones, Jung H Kim, Robert H Newman, Dukka B Kc

Biomed Res Int· December 2016

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RF-Hydroxysite: a random forest based predictor for hydroxylation sites.
Hamid D Ismail, Robert H Newman, Dukka B Kc

Mol Biosyst· July 2016

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