Subash Chandra Pakhrin

Assistant Professor at Computer Science, University of Houston-Downtown10 Followers

Professor creating impact through research in the intersection of computer science and biology, Dr. Subash Chandra Pakhrin is an esteemed Assistant Professor in the Department of Computer Science and Engineering Technology at the University of Houston-Downtown. With a robust academic foundation, he holds a Ph.D. in Electrical Engineering and Computer Science, which propels his innovative research endeavors. Dr. Pakhrin's research is primarily focused on unraveling the complexities of biological datasets, with a particular emphasis on protein post-translational modification mechanisms. He leverages cutting-edge protein language models and machine learning techniques to extract meaningful insights from these datasets, contributing significantly to the understanding of biological processes. His academic excellence has been recognized with the prestigious Nepal Bidhya Bhusan "Kha" Gold Medal award, underscoring his commitment to advancing knowledge in his field. Dr. Pakhrin's contributions extend beyond research; he is an active peer reviewer for renowned journals such as Bioinformatics and Scientific Reports, where he lends his expertise to ensure the quality and integrity of scientific publications. Dr. Pakhrin is dedicated to fostering a collaborative and innovative research environment, mentoring students and colleagues alike in the pursuit of scientific discovery. His work not only advances the field of bioinformatics but also bridges the gap between computational methods and biological sciences, paving the way for future breakthroughs.

Research Interests

Protein post-translational modification mechanisms Machine learning Protein language models Biological datasets Bioinformatics Computational biology Data-driven biological insights Scientific peer review

Publications

1 - Abstract PO5-05-09: Testing AI-Predicted Protein Motifs that Direct Constitutive Genomic AR Activity in Endocrine Resistant Breast Cancer,Cancer Research

Ashfia Khan , Anthony Peidl , Shaymaa Bahnassy , Henry Vo , Micah Castillo , Sarah Herzog , Suzanne Fuqua , Preethi Gunaratne , Xiaolian Gao , Subash Pakhrin , Tasneem Bawa-Khalfe ,

, PO5-05-09-PO5-05-09, 2024-05-02

2 - Prediction of human O-linked glycosylation sites using stacked generalization and embeddings from pre-trained protein language model,Bioinformatics

Subash Chandra Pakhrin , Neha Chauhan , Salman Khan , Jamie Upadhyaya , Moriah Rene Beck , Eduardo Blanco ,

, 2024-10-24

3 - Deep Learning-Based Advances in Protein Structure Prediction,International Journal of Molecular Sciences

Subash C. Pakhrin , Bikash Shrestha , Badri Adhikari , Dukka B. KC ,

, 5553, 2021-05-24

4 - Human O-linked Glycosylation Site Prediction Using Pretrained Protein Language Model,

Subash Pakhrin , Neha Chauhan , Salman Khan , Jamie Upadhyaya , Charles Keller , Laurie Neuman , Moriah Beck , Eduardo Blanco ,

, 2023-12-06

5 - HumanO-linked Glycosylation Site Prediction Using Pretrained Protein Language Model,

Subash C. Pakhrin , Neha Chauhan , Salman Khan , Jamie Upadhyaya , Charles Keller , Laurie N. Neuman , Moriah R. Beck , Eduardo Blanco ,

, 2023-10-24

6 - DeepNGlyPred: A Deep Neural Network-Based Approach for Human N-Linked Glycosylation Site Prediction,Molecules

Subash C. Pakhrin , Kiyoko F. Aoki-Kinoshita , Doina Caragea , Dukka B. KC ,

, 7314, 2021-12-02

7 - SumoPred-PLM: human SUMOylation and SUMO2/3 sites Prediction using Pre-trained Protein Language Model,NAR Genomics and Bioinformatics

Andrew Vargas Palacios , Pujan Acharya , Anthony Stephen Peidl , Moriah Rene Beck , Eduardo Blanco , Avdesh Mishra , Tasneem Bawa-Khalfe , Subash Chandra Pakhrin ,

, 2024-01-05

8 - LMNglyPred: prediction of human N-linked glycosylation sites using embeddings from a pre-trained protein language model,Glycobiology

Subash C Pakhrin , Suresh Pokharel , Kiyoko F Aoki-Kinoshita , Moriah R Beck , Tarun K Dam , Doina Caragea , Dukka B KC ,

, 411-422, 2023-04-17

9 - Multi-Armed Bandit Learning Approach with Entropy Measures for Effective Heterogeneous Networks Handover Scheme,2018 International Conference on Advances in Computing, Communication Control and Networking (ICACCCN)

Subash Chandra Pakhrin , Dibakar Raj Pant ,

, 451-455, 2018-10-01

10 - Deep Learning–Based Advances In Protein Posttranslational Modification Site and Protein Cleavage Prediction,Methods in Molecular Biology

Subash C. Pakhrin , Suresh Pokharel , Hiroto Saigo , Dukka B. KC ,

, 285-322, 2022-01-01

11 - LMPhosSite: A Deep Learning-Based Approach for General Protein Phosphorylation Site Prediction Using Embeddings from the Local Window Sequence and Pretrained Protein Language Model,Journal of Proteome Research

Subash C. Pakhrin , Suresh Pokharel , Pawel Pratyush , Meenal Chaudhari , Hamid D. Ismail , Dukka B. KC ,

, 2548-2557, 2023-07-17

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