Julia Rahman

Griffith University — Australia

Biochemistry, Genetics and Molecular Biology · Life Sciences

10h-index241citations32works3.02yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Machine Learning in Bioinformatics(17), Protein Structure and Dynamics(10), Genomics and Phylogenetic Studies(7), RNA and protein synthesis mechanisms(7), Computational Drug Discovery Methods(6)

Publications31 total

Harnessing angular geometry in deep learning for protein–ligand binding affinity prediction
Computer Methods and Programs in Biomedicine·2026Open Access
Bengali Shallow Parsing with XLM-RoBERTa: A Rule-Guided Multitask Approach
2025
Ensembling methods for protein-ligand binding affinity prediction
Scientific Reports·2024· 7 citedOpen Access
Distance plus attention for binding affinity prediction
Journal of Cheminformatics·2024· 5 citedOpen Access
Real-to-bin conversion for protein residue distances
Computational Biology and Chemistry·2023· 2 cited
Multi-S3P: Protein Secondary Structure Prediction With Specialized Multi-Network and Self-Attention-Based Deep Learning Model
IEEE Access·2023· 10 citedOpen Access
Constraint Guided Beta-Sheet Refinement for Protein Structure Prediction
Computational Biology and Chemistry·2022· 2 citedOpen Access
Long range multi-step water quality forecasting using iterative ensembling
Engineering Applications of Artificial Intelligence·2022· 21 citedOpen Access
A stacked meta-ensemble for protein inter-residue distance prediction
Computers in Biology and Medicine·2022· 9 cited
Enhancing protein contact map prediction accuracy via ensembles of inter-residue distance predictors
Computational Biology and Chemistry·2022· 7 citedOpen Access
Enhancing protein inter-residue real distance prediction by scrutinising deep learning models
Scientific Reports·2022· 12 citedOpen Access
predML-Site: Predicting Multiple Lysine PTM Sites With Optimal Feature Representation and Data Imbalance Minimization
IEEE/ACM Transactions on Computational Biology and Bioinformatics·2021· 19 cited
predForm-Site: Formylation site prediction by incorporating multiple features and resolving data imbalance
Computational Biology and Chemistry·2021· 3 citedOpen Access
Hubungan peer group support, uang saku dan pola konsumsi pangan dengan status gizi lebih pada remaja
AcTion Aceh Nutrition Journal·2021· 16 citedOpen Access
predPhogly-Site: Predicting phosphoglycerylation sites by incorporating probabilistic sequence-coupling information into PseAAC and addressing data imbalance
PLoS ONE·2021· 11 citedOpen Access
A Deep Convolutional Neural Network Based Small Scale Test-bed for Autonomous Car
2020· 2 cited
Prediction of Formylation Sites by Incorporating Sequence Coupling into General PseAAC
2020 IEEE Region 10 Symposium (TENSYMP)·2020· 3 cited
Effective Data Dimensionality Reduction Workflow for High-Dimensional Gene Expression Datasets
2020 IEEE Region 10 Symposium (TENSYMP)·2020· 3 citedOpen Access
Improving Patient Cohort Identification using Neural Word Embedding with Structured Analysis
2019· 1 cited
Citrullination Site Prediction by Incorporating Sequence Coupled Effects into PseAAC and Resolving Data Imbalance Issue
Current Bioinformatics·2019· 31 citedOpen Access
page 1 of 2Next →

Frequent Co-authors

Md Khaled Ben Islam(15), Md. Al Mehedi Hasan(14), M. A. Hakim Newton(9), Abdul Sattar(9), Shamim Ahmad(4), Sabit Ahmed(3), Afrida Rahman(3), Utsha Das(3), Md. Nazrul Islam Mondal(2), Rianon Zaman(2), Jiffriya Mohamed Abdul Cader(2), Jarrod Trevathan(1), Iin Fatmawati(1), Muhammad Nur Hasan Syah(1), Dian Luthfiana Sufyan(1), Nazrul Islam Mondal(1), Khaled Ben Islam(1), Al Mehedi Hasan(1), M. M. Mohamed Mufassirin(1), Akmal Jahan Mohamed Abdul Cader(1)