Person Image

    Education

    • B.Ed. (Science-Biology), มหาวิทยาลัยศรีนครินทรวิโรฒ, ไทย, 2547
    • M.Sc. (Cell and Molecular Biology), มหาวิทยาลัยเกษตรศาสตร์, ไทย, 2549
    • Ph.D. (Bioscience), Chalmers University of Technology, สวีเดน, 2555

    Expertise Cloud

    AbaloneACE inhibitory peptideAchatina fulicaalaninealgorithmAlgorithmsamino acid sequenceanticancerantiviral peptideargininearticlebacteriaBacteria-bacteria interactionbiomimetic peptidesbiomimeticscaecilianCarbon sourcesCell deathchemistryCLONINGcolorectal cancercomputer modelcontrolled studyCordycepinCordyceps militariscross validationdeep learningdigestive systemdipeptidyl carboxypeptidase inhibitorDynamicenzyme inhibitorEnzyme InhibitorsFeature representationfeature selectionGastrointestinal tractgastropodgenomeGenotoxicitygiant African snailGolden Apple SnailHemphistochemistryhistologyhumanHumansIntegrated analysisisoleucineleucinelipidomelong short term memory networklysinemachine learningMetabolic Footprintingmetabolic networkmetabolismMicronucleusmolecular dockingmonophenol monooxygenasemucous cellMucous ProteinNatural Language ProcessingnonhumanPasteurella multocidapeptidePeptidespeptidomephenylalaninephysical chemistryPomacea canaliculatapredictionprolinepropensity scorePropionibacterium acnesprotein language modelrecurrent neural networkreproductionrice branSaccharomyces cerevisiaeSARS-CoV-2 main proteasesequence analysisSystems Biologytranscriptometranscriptome analysistryptophanTyrosinaseTyrosinase inhibitory peptidestyrosineunclassified drugvalinevirtual screeningYeastชีววิทยาสังเคราะห์ชีวสารสนเทศเปปทีโดมโปรตีนมะเร็งเต้านมเมือกหอยทากสาหร่ายหอยเชอรี่หอยทากยักษ์แอฟริกัน

    Interest

    Cell and Molecular Biology, Systems Biology, Biomimetic Peptide, Bioactive Peptide, Bioinformatics

    Administrative Profile

    • พ.ค. 2568 - ปัจจุบัน รองคณบดีฝ่ายวิจัยและความเป็นสากล วิทยาลัยนานาชาติ
    • พ.ย. 2564 - ก.ค. 2567 รองหัวหน้าภาควิชา คณะวิทยาศาสตร์ ภาควิชาสัตววิทยา
    • พ.ย. 2559 - ก.ค. 2563 รองหัวหน้าภาควิชาสัตววิทยา คณะวิทยาศาสตร์

    Resource

    • จำนวนหน่วยปฏิบัติการที่เข้าร่วม 0 หน่วย
    • จำนวนเครื่องมือวิจัย 0 ชิ้น

    งานวิจัยในรอบ 5 ปี

    Project

    งานวิจัยที่อยู่ระหว่างการดำเนินการ
    • ทุนใน 6 โครงการ (หัวหน้าโครงการ 2 โครงการ, ที่ปรึกษาโครงการ 1 โครงการ, ผู้ร่วมวิจัย 3 โครงการ)
    • ทุนนอก 0 โครงการ
    งานวิจัยที่เสร็จสิ้นแล้ว
    • ทุนใน 14 โครงการ (หัวหน้าโครงการ 6 โครงการ, ผู้ร่วมวิจัย 8 โครงการ)
    • ทุนนอก 9 โครงการ (ที่ปรึกษาโครงการ 1 โครงการ, ผู้ร่วมวิจัย 8 โครงการ)

    แนวโน้มผลงานทั้งหมดเทียบกับแนวโน้มผลงานในรอบ 5 ปี

    Output

    • บทความ 79 เรื่อง (ตีพิมพ์ในวารสารวิชาการ 58 เรื่อง, นำเสนอในการประชุม/สัมมนา 21 เรื่อง)
    • ทรัพย์สินทางปัญญา 0 เรื่อง (ลิขสิทธิ์ 0 เรื่อง, เครื่องหมายการค้า 0 เรื่อง, อนุสิทธิบัตร 0 เรื่อง, สิทธิบัตร 0 เรื่อง)
    • สิ่งประดิษฐ์ 0 เรื่อง (ขึ้นทะเบียนพันธุ์พืช หรือพันธุ์สัตว์ หรือสิ่งประดิษฐ์ มก. 0 เรื่อง)
    • Unknown 5 เรื่อง (Unknown 5 เรื่อง)

    แนวโน้มการนำผลงานไปใช้ประโยชน์ในด้านต่างๆ

    Outcome

    • การนำผลงานไปใช้ประโยชน์ 5 เรื่อง (เชิงวิชาการ 5 เรื่อง, เชิงนโยบาย/บริหาร 0 เรื่อง, เชิงสาธารณะ 0 เรื่อง, เชิงพาณิชย์ 0 เรื่อง)

    รางวัลที่ได้รับ

    Award

    • รางวัลที่ได้รับ 3 เรื่อง (ประกาศเกียรติคุณ/รางวัลนักวิจัย 3 เรื่อง, รางวัลผลงานวิจัย/สิ่งประดิษฐ์ 0 เรื่อง, รางวัลผลงานนำเสนอในการประชุมวิชาการ 0 เรื่อง)

    นักวิจัยที่มีผลงานงานร่วมกันมากที่สุด 10 คนแรก


    Scopus h-index

    #Document titleAuthorsYearSourceCited by
    1Rapid quantification of yeast lipid using microwave-assisted total lipid extraction and HPLC-CADKhoomrung S., Chumnanpuen P., Chumnanpuen P., Jansa-Ard S., Staìšhlman M., Nookaew I., Borén J., Nielsen J.2013Analytical Chemistry,
    85(10), pp. 4912-4919
    120
    2Prediction of anticancer peptides against MCF-7 breast cancer cells from the peptidomes of Achatina fulica mucus fractionsE-Kobon T., Thongararm P., Roytrakul S., Meesuk L., Chumnanpuen P.2016Computational and Structural Biotechnology Journal,
    14, pp. 49-57
    95
    3Integrated multilaboratory systems biology reveals differences in protein metabolism between two reference yeast strainsCanelas A.B., Harrison N., Fazio A., Zhang J., Pitkänen J.P., Van Den Brink J., Bakker B.M., Bogner L., Bouwman J., Castrillo J.I., Cankorur A., Chumnanpuen P., Daran-Lapujade P., Dikicioglu D., Van Eunen K., Ewald J.C., Heijnen J.J., Kirdar B., Mattila I., Mensonides F.I.C., Niebel A., Penttilä M., Pronk J.T., Reuss M., Salusjärvi L., Sauer U., Sherman D., Siemann-Herzberg M., Westerhoff H., De Winde J., Petranovic D., Oliver S.G., Workman C.T., Zamboni N., Nielsen J.2010Nature Communications,
    1(9), 145
    92
    4Mapping the interaction of Snf1 with TORC1 in Saccharomyces cerevisiaeZhang J., Vaga S., Chumnanpuen P., Kumar R., Vemuri G., Aebersold R., Aebersold R., Nielsen J.2011Molecular Systems Biology,
    7, 545
    74
    5Fast and accurate preparation fatty acid methyl esters by microwave-assisted derivatization in the yeast Saccharomyces cerevisiaeKhoomrung S., Chumnanpuen P., Jansa-Ard S., Nookaew I., Nielsen J.2012Applied Microbiology and Biotechnology,
    94(6), pp. 1637-1646
    67
    6Alternative metabolic routes in channeling xylose to cordycepin production of Cordyceps militaris identified by comparative transcriptome analysisWongsa B., Raethong N., Chumnanpuen P., Wong-ekkabut J., Laoteng K., Vongsangnak W.2020Genomics,
    112(1), pp. 629-636
    42
    7Informatics for metabolomicsKusonmano K., Vongsangnak W., Chumnanpuen P.2016Advances in Experimental Medicine and Biology,
    939, pp. 91-115
    28
    8Unveiling putative functions of mucus proteins and their tryptic peptides in seven gastropod species using comparative proteomics and machine learning-based bioinformatics predictionsTachapuripunya V., Roytrakul S., Chumnanpuen P., E-kobon T.2021Molecules,
    26(11), 3475
    27
    9Mucus of Achatina fulica stimulates mineralization and inflammatory response in dental pulp cellsKantawong F., Thaweenan P., Mungkala S., Tamang S., Manaphan R., Wanachantararak P., E-Kobon T., Chumnanpuen P.2016Turkish Journal of Biology,
    40(2), pp. 353-359
    25
    10Morphological development of glochidia in artificial media through early juvenile of freshwater pearl mussel, Hyriopsis (Hyriopsis) bialatus Simpson, 1900Chumnanpuen P., Kovitvadhi U., Chatchavalvanich K., Thongpan A., Kovitvadhi S.2011Invertebrate Reproduction and Development,
    55(1), pp. 40-52
    22
    11Integrated analysis, transcriptome-lipidome, reveals the effects of INO-level (INO2 and INO4) on lipid metabolism in yeastChumnanpuen P., Chumnanpuen P., Nookaew I., Nielsen J.2013BMC Systems Biology,
    7, S7
    21
    12Improved prediction and characterization of blood-brain barrier penetrating peptides using estimated propensity scores of dipeptidesCharoenkwan P., Chumnanpuen P., Schaduangrat N., Lio’ P., Moni M.A., Shoombuatong W.2022Journal of Computer-Aided Molecular Design21
    13Stack-AVP: A Stacked Ensemble Predictor Based on Multi-view Information for Fast and Accurate Discovery of Antiviral PeptidesCharoenkwan P., Chumnanpuen P., Schaduangrat N., Shoombuatong W.2024Journal of Molecular Biology,
    168853
    20
    14PSRQSP: An effective approach for the interpretable prediction of quorum sensing peptide using propensity score representation learningCharoenkwan P., Chumnanpuen P., Schaduangrat N., Oh C., Manavalan B., Shoombuatong W.2023Computers in Biology and Medicine,
    158, 106784
    19
    15Leveraging a meta-learning approach to advance the accuracy of Nav blocking peptides predictionShoombuatong W., Homdee N., Schaduangrat N., Chumnanpuen P.2024Scientific Reports,
    14(1), 4463
    19
    16Computer-Aided Virtual Screening and In Vitro Validation of Biomimetic Tyrosinase Inhibitory Peptides from Abalone PeptidomeKongsompong S., E-kobon T., Taengphan W., Sangkhawasi M., Khongkow M., Chumnanpuen P.2023International Journal of Molecular Sciences,
    24(4), 3154
    18
    17Dynamic metabolic footprinting reveals the key components of metabolic network in yeast saccharomyces cerevisiaeChumnanpuen P., Hansen M., Smedsgaard J., Nielsen J.2014International Journal of Genomics,
    2014, 894296
    18
    18Integrated analysis of transcriptome and lipid profiling reveals the co-influences of inositol-choline and Snf1 in controlling lipid biosynthesis in yeastChumnanpuen P., Zhang J., Nookaew I., Nielsen J.2012Molecular Genetics and Genomics,
    287(7), pp. 541-554
    16
    19Virtual screening for biomimetic anti-cancer peptides from cordyceps militaris putative pepsinized peptidome and validation on colon cancer cell lineChantawannakul J., Chatpattanasiri P., Wattayagorn V., Kongsema M., Noikaew T., Chumnanpuen P.2021Molecules,
    26(19), 5767
    16
    20K-Nearest Neighbor and Random Forest-Based Prediction of Putative Tyrosinase Inhibitory Peptides of Abalone Haliotis diversicolorKongsompong S., E-Kobon T., Chumnanpuen P.2021Molecules (Basel, Switzerland),
    26(12)
    15
    21Transcriptome analysis reveals candidate genes involved in luciferin metabolism in Luciola aquatilis (Coleoptera: Lampyridae)Vongsangnak W., Chumnanpuen P., Sriboonlert A.2016PeerJ,
    2016(10), e2534
    15
    22TIPred: a novel stacked ensemble approach for the accelerated discovery of tyrosinase inhibitory peptidesCharoenkwan P., Kongsompong S., Schaduangrat N., Chumnanpuen P., Shoombuatong W.2023BMC Bioinformatics,
    24(1), 356
    15
    23Riceberry Rice Bran Protein Hydrolyzed Fractions Induced Apoptosis, Senescence and G1/S Cell Cycle Arrest in Human Colon Cancer Cell LinesWattayagorn V., Kongsema M., Tadakittisarn S., Chumnanpuen P.2022Applied Sciences (Switzerland),
    12(14), 6917
    13
    24Virtual Screening for SARS-CoV-2 Main Protease Inhibitory Peptides from the Putative Hydrolyzed Peptidome of Rice BranHarnkit N., Khongsonthi T., Masuwan N., Prasartkul P., Noikaew T., Chumnanpuen P.2022Antibiotics,
    11(10), 1318
    13
    25Lipid biosynthesis monitored at the single-cell level in Saccharomyces cerevisiaeChumnanpuen P., Brackmann C., Nandy S., Chatzipapadopoulos S., Nielsen J., Enejder A.2012Biotechnology Journal,
    7(5), pp. 594-601
    13
    26Prediction of Antibacterial Peptides against Propionibacterium acnes from the Peptidomes of Achatina fulica Mucus FractionsChalongkulasak S., E-Kobon T., Chumnanpuen P.2022Molecules,
    27(7), 2290
    13
    27TROLLOPE: A novel sequence-based stacked approach for the accelerated discovery of linear T-cell epitopes of hepatitis C virusCharoenkwan P., Waramit S., Chumnanpuen P., Schaduangrat N., Shoombuatong W.2023PloS one,
    18(8), pp. e0290538, e0290538
    12
    28Gross morphological structure of digestive system in water monitor lizard varanus salvator (Squamata: Varanidae)Srichairat N., Taksintum W., Chumnanpuen P.2018Walailak Journal of Science and Technology,
    15(3), pp. 245-253
    11
    29Identification of potential candidate genes involved in the sex determination cascade in an aquatic firefly, Sclerotia aquatilis (Coleoptera, Lampyridae)Nguantad S., Chumnanpuen P., Thancharoen A., Vongsangnak W., Sriboonlert A.2020Genomics,
    112(3), pp. 2590-2602
    10
    30Deepstack-ACE: A deep stacking-based ensemble learning framework for the accelerated discovery of ACE inhibitory peptidesCharoenkwan P., Chumnanpuen P., Schaduangrat N., Shoombuatong W.2025Methods,
    234, pp. 131-140
    10
    31Enhancing Genome-Scale Model by Integrative Exometabolome and Transcriptome: Unveiling Carbon Assimilation towards Sphingolipid Biosynthetic Capability of Cordyceps militarisCheawchanlertfa P., Chitcharoen S., Chitcharoen S., Raethong N., Liu Q., Chumnanpuen P., Soommat P., Song Y., Song Y., Koffas M., Laoteng K., Vongsangnak W.2022Journal of Fungi,
    8(8), 887
    9
    32iAMAP-SCM: A Novel Computational Tool for Large-Scale Identification of Antimalarial Peptides Using Estimated Propensity Scores of DipeptidesCharoenkwan P., Schaduangrat N., Lio P., Moni M.A., Chumnanpuen P., Shoombuatong W.2022ACS Omega9
    33Computer-Aided Screening for Potential Coronavirus 3-Chymotrypsin-like Protease (3CLpro) Inhibitory Peptides from Putative Hemp Seed Trypsinized PeptidomePrasertsuk K., Prongfa K., Suttiwanich P., Harnkit N., Sangkhawasi M., Promta P., Chumnanpuen P.2023Molecules,
    28(1), 50
    8
    34Computational Screening for the Dipeptidyl Peptidase-IV Inhibitory Peptides from Putative Hemp Seed Hydrolyzed Peptidome as a Potential Antidiabetic AgentThongtak A., Yutisayanuwat K., Harnkit N., Noikaew T., Chumnanpuen P.2024International Journal of Molecular Sciences,
    25(11), 5730
    7
    35Amplification and bioinformatics analysis of conserved FAD-binding region of L-amino acid oxidase (LAAO) genes in gastropods compared to other organismsSuwannapan W., Chumnanpuen P., E-kobon T.2018Computational and Structural Biotechnology Journal,
    16, pp. 98-107
    7
    36Iron-associated protein interaction networks reveal the key functional modules related to survival and virulence of Pasteurella multocidaJatuponwiphat T., Chumnanpuen P., Othman S., E-kobon T., Vongsangnak W.2019Microbial Pathogenesis,
    127, pp. 257-266
    6
    37A study of the aphrodisiac properties of Cordyceps militaris in streptozotocin-induced diabetic male ratsvan Nguyen T., Chumnanpuen P., Parunyakul K., Srisuksai K., Fungfuang W.2021Veterinary World,
    14(2), pp. 537-544
    6
    38Comparison of Hyaluronic Acid Biosynthetic Genes From Different Strains of Pasteurella multocidaPasomboon P., Chumnanpuen P., E-kobon T.2021Bioinformatics and Biology Insights,
    15
    6
    39Advancing the accuracy of tyrosinase inhibitory peptides prediction via a multiview feature fusion strategyShoombuatong W., Schaduangrat N., Homdee N., Ahmed S., Ahmed S., Chumnanpuen P.2025Scientific Reports,
    15(1), 4762
    6
    40Advancing the Accuracy of Anti-MRSA Peptide Prediction Through Integrating Multi-Source Protein Language ModelsShoombuatong W., Mookdarsanit P., Mookdarsanit L., Schaduangrat N., Ahmed S., Ahmed S., Kabir M., Chumnanpuen P.2025Interdisciplinary Sciences - Computational Life Sciences5
    41Understanding Snail Mucus Biosynthesis and Shell Biomineralisation through Genomic Data Mining of the Reconstructed Carbohydrate and Glycan Metabolic Pathways of the Giant African Snail (Achatina fulica)Nualnisachol P., Chumnanpuen P., E-kobon T.2023Biology,
    12(6), 836
    5
    42PI3K/Akt signaling involved with osteoinductive effects of Achatina fulica MucusKantawong F., Jearasakwattana T., Nira A., Chewae J., Sajjamongkol P., Phothong P., E-kobon T., Chumnanpuen P.2020Brazilian Archives of Biology and Technology,
    63, e20180501
    5
    43Interaction study of Pasteurella multocida with culturable aerobic bacteria isolated from porcine respiratory tracts using coculture in conditioned mediaHanchanachai N., Chumnanpuen P., E-kobon T.2021BMC Microbiology,
    21(1), 19
    4
    44Microanatomy of the digestive system of Supachai's caecilian, Ichthyophis supachaii Taylor, 1960 (Amphibia: Gymnophiona)Muikham I., Srakaew N., Chatchavalvanich K., Chumnanpuen P.2017Acta Zoologica,
    98(3), pp. 252-270
    4
    45Histological and histochemical studies of the gastrointestinal tract in the water monitor lizard (Varanus salvator)Srichairat N., Taksintum W., Chumnanpuen P.2021Acta Zoologica3
    46Mucous cell distribution and mucus production during early growth periods of the giant African snail (Achatina fulica)Suwannapan W., Ngankoh S., E-Kobon T., Chumnanpuen P.2019Agriculture and Natural Resources,
    53(4), pp. 423-428
    3
    47Accelerating the identification of the allergenic potential of plant proteins using a stacked ensemble-learning frameworkCharoenkwan P., Chumnanpuen P., Schaduangrat N., Shoombuatong W.2024Journal of Biomolecular Structure and Dynamics3
    48Effect of conditioned media from Aeromonas caviae on the transcriptomic changes of the porcine isolates of Pasteurella multocidaHanchanachai N., Chumnanpuen P., E-kobon T.2022BMC Microbiology,
    22(1), 272
    3
    49Dissecting Metabolic Functions and Sugar Transporters Using Genome and Transportome of Probiotic Limosilactobacillus fermentum KUB-D18He Y., Mok K., Chumnanpuen P., Nakphaichit M., Vongsangnak W.2025Genes,
    16(3), 348
    3
    50GRU4ACE: Enhancing ACE inhibitory peptide prediction by integrating gated recurrent unit with multi-source feature embeddingsAhmed S., Ahmed S., Schaduangrat N., Chumnanpuen P., Shoombuatong W.2025Protein Science,
    34(6), e70026
    2
    51PSR-MAPMS: A new approach for the interpretable prediction of myelin autoantigenic peptides in multiple sclerosis using multi-source propensity scoresCharoenkwan P., Schaduangrat N., Chumnanpuen P., Shoombuatong W.2025Protein Science,
    34(8), e70010
    2
    52Expanded Gene Regulatory Network Reveals Potential Light-Responsive Transcription Factors and Target Genes in Cordyceps militarisBuradam P., Thananusak R., Koffas M., Koffas M., Chumnanpuen P., Vongsangnak W.2024International Journal of Molecular Sciences,
    25(19), 10516
    2
    53Prevention potential of Cordyceps militaris aqueous extract against cyclophosphamind-induced mutagenicity and sperm abnormality in ratsTongmai T., Maketon M., Chumnanpuen P.2018Agriculture and Natural Resources,
    52(5), pp. 419-423
    2
    54Histological and histochemical characteristics of the oral, pharyngeal and accessory digestive organs in the water monitor lizard (Varanus salvator) from ThailandSrichairat N., Taksintum W., Chumnanpuen P.2022Journal of Veterinary Medicine Series C: Anatomia Histologia Embryologia2
    55Histomorphological studies of the testis and male genital ducts of Supachai's caecilian, Ichthyophis supachaii Taylor, 1960 (Amphibia: Gymnophiona)Pewhom A., Chumnanpuen P., Muikham I., Chatchavalvanich K., Srakaew N.2016Acta Zoologica,
    97(1), pp. 76-89
    2
    56Using socio-scientific issues-based teaching to develop grade 10 students’ informal reasoning skillsJansong C., Pitiporntapin S., Chumnanpuen P., Hines L.M., Yokyong S.2022Kasetsart Journal of Social Sciences,
    43(1), pp. 217-222
    1
    57Molecular characterisation of the GdhA- Derivative of pasteurella multocida B:2Azam F.M., Azam F.M., Zamri-Saad M., Rahim R.A., Chumnanpuen P., E-Kobon T., Othman S.2021Pertanika Journal of Tropical Agricultural Science,
    44(1), pp. 171-192
    1
    58Study of Anticancer Applications of Ag/Er co-doped ZnO Nanostructures as Potential Candidate NanomedicineSrithongkul N., Imboon T., Chumnanpuen P., Harnkit N., Wattayagorn V., Ghosh S., Ghosh S., Chotikaprakhan S., Thongmee S.2025E3S Web of Conferences,
    619, 05002
    1
    59BLSAM-TIP: Improved and robust identification of tyrosinase inhibitory peptides by integrating bidirectional LSTM with self-attention mechanismAhmed S., Ahmed S., Schaduangrat N., Chumnanpuen P., Mahmud S.M.H., Goh K.O.M., Shoombuatong W.2025Plos One,
    20(10), pp. e0333614, e0333614
    0
    60Virtual Screening of Cathelicidin-Derived Anticancer Peptides and Validation of Their Production in the Probiotic Limosilactobacillus fermentum KUB-D18 Using Genome-Scale Metabolic Modeling and Experimental ApproachesWattayagorn V., Mansuwan T., Angkanawin K., Sapkaew C., Sinthuvanich C., Watthanasakphuban N., Chumnanpuen P.2025International Journal of Molecular Sciences,
    26(20), 10077
    0
    61Synthesis and Characterization of Mg-Doped CuO Nanoparticles and Their Enhanced Anticancer Efficacy Against HepG2 Liver Cancer CellsSupha C., Ahmed R., Ahmed R., Wattayagorn V., Thongmee S., Chumnanpuen P.2026International Journal of Molecular Sciences,
    27(4), 1647
    0
    62Microscopic structures of the ovary and female genital ducts of Supachai's caecilian, Ichthyophis supachaii Taylor, 1960 (Amphibia: Gymnophiona)Pewhom A., Chumnanpuen P., Muikham I., Chatchavalvanich K., Srakaew N.2016Acta Zoologica,
    97(4), pp. 454-463
    0