Sira Sriswasdi

8 papers in the catalog · Thailand

Sira Sriswasdi: 8 papers in the catalog · Thailand · Chulalongkorn University, Chulalongkorn University · Works on Daboia siamensis multi-omics venomics, Hydrophis schistosus venomics, Living proteomics benchmark

Affiliations

Chulalongkorn University · Center for Artificial Intelligence in Medicine, Research Affairs, Faculty of Medicine
Chulalongkorn University · Center of Excellence in Computational Molecular Biology, Faculty of Medicine
Chulalongkorn University · Computational Molecular Biology Group, Faculty of Medicine
Chulalongkorn University · Department of Computer Engineering, Faculty of Engineering
Chulalongkorn University · Research Affairs, Faculty of Medicine and King Chulalongkorn Memorial Hospital
King Chulalongkorn Memorial Hospital

Elsewhere

ORCID 0000-0002-4117-3632 · OpenAlex

Papers

Mass Spectrometry-Based Profiling of Personalized Immunopeptidomes in Thai Renal Cell Carcinoma (2026, Journal of Proteome Research)
A living proteomics benchmark for comprehensive evaluation of deep learning-based de novo peptide sequencing tools (2026, Nature Methods (Registered Report))
Identification of Daboia siamensis venome using integrated multi-omics data (2022, Scientific Reports)
Combined proteomic strategies for in-depth venomic analysis of the beaked sea snake (Hydrophis schistosus) from Songkhla Lake, Thailand (2022, Journal of Proteomics)
Unsupervised Mining of HLA-I Peptidomes Reveals New Binding Motifs and Potential False Positives in the Community Database (2022, Frontiers in Immunology)
Unsupervised mining of HLA-I peptidomes reveals new binding motifs and substantial false positives in community database (2021, bioRxiv)
Uncovering Thousands of New Peptides with Sequence-Mask-Search Hybrid De Novo Peptide Sequencing Framework (2019, Molecular & Cellular Proteomics)
Uncovering thousands of new HLA antigens and phosphopeptides with deep learning-based sequence-mask-search de novo peptide sequencing framework (2019, bioRxiv)

Methods and tools

Daboia siamensis multi-omics venomics, Hydrophis schistosus venomics, Living proteomics benchmark, SMSNet, Thai RCC personalised immunopeptidomics, Unsupervised HLA-I peptidome mining with SMSNet

Co-authors (83)

Ranked by Newman fractional collaboration strength, so a pair on a two-author paper counts for more than a pair on a 50-author consortium paper.

Trairak Pisitkun strength 0.66, 5 shared
Poorichaya Somparn strength 0.57, 4 shared
Ekapol Chuangsuwanich strength 0.52, 3 shared
David W. Speicher strength 0.50, 2 shared
Hsin-Yao Tang strength 0.50, 2 shared
Korrawe Karunratanakul strength 0.50, 2 shared
Phijitra Muanwien strength 0.48, 3 shared
Chatchapon Sricharoensuk strength 0.40, 2 shared
Tanupat Boonchalermvichien strength 0.40, 2 shared
Lawan Chanhome strength 0.18, 2 shared
Narongsak Chaiyabutr strength 0.18, 2 shared
Orawan Khow strength 0.18, 2 shared
Thammakorn Saethang strength 0.18, 2 shared
Visith Sitprija strength 0.18, 2 shared
Piriya Wongkongkathep strength 0.17, 2 shared
Kenneth Hodge strength 0.09, 1 shared
Khin Than Yee strength 0.09, 1 shared
Mark A. Knepper strength 0.09, 1 shared
Montri Sumontha strength 0.09, 1 shared
Nuttiya Kalpongnukul strength 0.09, 1 shared
Panithi Laoungbua strength 0.09, 1 shared
Sunchai Payungporn strength 0.09, 1 shared
Waeowalee Choksawangkarn strength 0.09, 1 shared
Jirapat Techachakrit strength 0.08, 1 shared
Julin Opanuraks strength 0.08, 1 shared
Nattiya Hirankarn strength 0.08, 1 shared
Parunya Chaiyawat strength 0.08, 1 shared
Saharat Nanthawong strength 0.08, 1 shared
Shanop Shuangshoti strength 0.08, 1 shared
Sutpirat Moonmuang strength 0.08, 1 shared
Tanyaluck Kampoun strength 0.08, 1 shared
Tatchapon Apinan strength 0.08, 1 shared
Alfred Nilsson strength 0.02, 1 shared
Baozhen Shan strength 0.02, 1 shared
Benjamin A. Neely strength 0.02, 1 shared
Bin Ma strength 0.02, 1 shared
Ceder Dens strength 0.02, 1 shared
Charlotte Adams strength 0.02, 1 shared
Cheng Chang strength 0.02, 1 shared
Cheng Ge strength 0.02, 1 shared

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