Watshara Shoombuatong

Watshara Shoombuatong

Mahidol University

H-index: 32

Asia-Thailand

About Watshara Shoombuatong

Watshara Shoombuatong, With an exceptional h-index of 32 and a recent h-index of 32 (since 2020), a distinguished researcher at Mahidol University, specializes in the field of Machine learning, Bioinformatics, QSAR, Immunoinformatics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Review of Computational Methods and Database Sources for Predicting the Effects of Coding Frameshift Small Insertion and Deletion Variations

The role of ncRNA regulatory mechanisms in diseases—case on gestational diabetes

Leveraging a meta-learning approach to advance the accuracy of Nav blocking peptides prediction

Accelerating the identification of the allergenic potential of plant proteins using a stacked ensemble-learning framework

Deep-WET: a deep learning-based approach for predicting DNA-binding proteins using word embedding techniques with weighted features

PSRQSP: An effective approach for the interpretable prediction of quorum sensing peptide using propensity score representation learning

TIPred: a novel stacked ensemble approach for the accelerated discovery of tyrosinase inhibitory peptides

GPApred: The first computational predictor for identifying proteins with LPXTG-like motif using sequence-based optimal features

Watshara Shoombuatong Information

University

Position

___

Citations(all)

2922

Citations(since 2020)

2733

Cited By

993

hIndex(all)

32

hIndex(since 2020)

32

i10Index(all)

69

i10Index(since 2020)

66

Email

University Profile Page

Mahidol University

Google Scholar

View Google Scholar Profile

Watshara Shoombuatong Skills & Research Interests

Machine learning

Bioinformatics

QSAR

Immunoinformatics

Top articles of Watshara Shoombuatong

Title

Journal

Author(s)

Publication Date

Review of Computational Methods and Database Sources for Predicting the Effects of Coding Frameshift Small Insertion and Deletion Variations

Fang Ge

Muhammad Arif

Zihao Yan

Hanin Alahmadi

Apilak Worachartcheewan

...

2024/1/3

The role of ncRNA regulatory mechanisms in diseases—case on gestational diabetes

Dong Gao

Liping Ren

Yu-Duo Hao

Nalini Schaduangrat

Xiao-Wei Liu

...

2024/1/1

Leveraging a meta-learning approach to advance the accuracy of Nav blocking peptides prediction

Scientific Reports

Watshara Shoombuatong

Nutta Homdee

Nalini Schaduangrat

Pramote Chumnanpuen

2024/2/23

Accelerating the identification of the allergenic potential of plant proteins using a stacked ensemble-learning framework

Journal of Biomolecular Structure and Dynamics

Phasit Charoenkwan

Pramote Chumnanpuen

Nalini Schaduangrat

Watshara Shoombuatong

2024/2/14

Deep-WET: a deep learning-based approach for predicting DNA-binding proteins using word embedding techniques with weighted features

Scientific Reports

SM Hasan Mahmud

Kah Ong Michael Goh

Md Faruk Hosen

Dip Nandi

Watshara Shoombuatong

2024/2/5

PSRQSP: An effective approach for the interpretable prediction of quorum sensing peptide using propensity score representation learning

Computers in Biology and Medicine

Phasit Charoenkwan

Pramote Chumnanpuen

Nalini Schaduangrat

Changmin Oh

Balachandran Manavalan

...

2023/5/1

TIPred: a novel stacked ensemble approach for the accelerated discovery of tyrosinase inhibitory peptides

BMC bioinformatics

Phasit Charoenkwan

Sasikarn Kongsompong

Nalini Schaduangrat

Pramote Chumnanpuen

Watshara Shoombuatong

2023/9/21

GPApred: The first computational predictor for identifying proteins with LPXTG-like motif using sequence-based optimal features

International Journal of Biological Macromolecules

Adeel Malik

Watshara Shoombuatong

Chang-Bae Kim

Balachandran Manavalan

2023/2/28

TROLLOPE: A novel sequence-based stacked approach for the accelerated discovery of linear T-cell epitopes of hepatitis C virus

Plos one

Phasit Charoenkwan

Sajee Waramit

Pramote Chumnanpuen

Nalini Schaduangrat

Watshara Shoombuatong

2023/8/25

Empirical comparison and analysis of machine learning-based approaches for druggable protein identification

Watshara Shoombuatong

Nalini Schaduangrat

Jaru Nikom

2023

StackTTCA: a stacking ensemble learning-based framework for accurate and high-throughput identification of tumor T cell antigens

BMC bioinformatics

Phasit Charoenkwan

Nalini Schaduangrat

Watshara Shoombuatong

2023/7/28

StackER: a novel SMILES-based stacked approach for the accelerated and efficient discovery of ERα and ERβ antagonists

Scientific Reports

Nalini Schaduangrat

Nutta Homdee

Watshara Shoombuatong

2023/12/27

PSRTTCA: A new approach for improving the prediction and characterization of tumor T cell antigens using propensity score representation learning

Computers in Biology and Medicine

Phasit Charoenkwan

Chonlatip Pipattanaboon

Chanin Nantasenamat

Md Mehedi Hasan

Mohammad Ali Moni

...

2023/1/1

Pretoria: An effective computational approach for accurate and high-throughput identification of CD8+ t-cell epitopes of eukaryotic pathogens

International Journal of Biological Macromolecules

Phasit Charoenkwan

Nalini Schaduangrat

Nhat Truong Pham

Balachandran Manavalan

Watshara Shoombuatong

2023/5/31

Detection of Osteosarcoma using Deep Feature Extraction with Federated Learning and MLP from Histopathological Images

Anjir Ahmed Chowdhury

SM Hasan Mahmud

Md Fazla Elahe

Hosney Jahan

Watshara Shoombuatong

...

2023/11/22

DeepAR: a novel deep learning-based hybrid framework for the interpretable prediction of androgen receptor antagonists

Journal of Cheminformatics

Nalini Schaduangrat

Nuttapat Anuwongcharoen

Phasit Charoenkwan

Watshara Shoombuatong

2023/5/6

MMPatho: Leveraging Multilevel Consensus and Evolutionary Information for Enhanced Missense Mutation Pathogenic Prediction

Journal of Chemical Information and Modeling

Fang Ge

Muhammad Arif

Zihao Yan

Hanin Alahmadi

Apilak Worachartcheewan

...

2023/11/10

DeepDNAbP: A deep learning-based hybrid approach to improve the identification of deoxyribonucleic acid-binding proteins

Computers in Biology and Medicine

Md Faruk Hosen

SM Hasan Mahmud

Kawsar Ahmed

Wenyu Chen

Mohammad Ali Moni

...

2022/6/1

SCMRSA: a new approach for identifying and Analyzing anti-MRSA peptides using estimated propensity scores of dipeptides

ACS omega

Phasit Charoenkwan

Sakawrat Kanthawong

Nalini Schaduangrat

Pietro Li’

Mohammad Ali Moni

...

2022/9/1

iAMAP-SCM: a novel computational tool for large-scale identification of antimalarial peptides using estimated propensity scores of dipeptides

ACS omega

Phasit Charoenkwan

Nalini Schaduangrat

Pietro Lio

Mohammad Ali Moni

Pramote Chumnanpuen

...

2022/11/2

See List of Professors in Watshara Shoombuatong University(Mahidol University)