These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

124 related articles for article (PubMed ID: 38501392)

  • 1. Multiquery Similarity Searching Models: An Alternative Approach for Predicting Hemolytic Activity from Peptide Sequence.
    Castillo-Mendieta K; Agüero-Chapin G; Marquez E; Perez-Castillo Y; Barigye SJ; Pérez-Cárdenas M; Peréz-Giménez F; Marrero-Ponce Y
    Chem Res Toxicol; 2024 Apr; 37(4):580-589. PubMed ID: 38501392
    [TBL] [Abstract][Full Text] [Related]  

  • 2. HemoPred: a web server for predicting the hemolytic activity of peptides.
    Win TS; Malik AA; Prachayasittikul V; S Wikberg JE; Nantasenamat C; Shoombuatong W
    Future Med Chem; 2017 Mar; 9(3):275-291. PubMed ID: 28211294
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Peptide hemolytic activity analysis using visual data mining of similarity-based complex networks.
    Castillo-Mendieta K; Agüero-Chapin G; Marquez EA; Perez-Castillo Y; Barigye SJ; Vispo NS; García-Jacas CR; Marrero-Ponce Y
    NPJ Syst Biol Appl; 2024 Oct; 10(1):115. PubMed ID: 39367008
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Network Science and Group Fusion Similarity-Based Searching to Explore the Chemical Space of Antiparasitic Peptides.
    Ayala-Ruano S; Marrero-Ponce Y; Aguilera-Mendoza L; Pérez N; Agüero-Chapin G; Antunes A; Aguilar AC
    ACS Omega; 2022 Dec; 7(50):46012-46036. PubMed ID: 36570318
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Prediction of Anticancer Peptides with High Efficacy and Low Toxicity by Hybrid Model Based on 3D Structure of Peptides.
    Zhao Y; Wang S; Fei W; Feng Y; Shen L; Yang X; Wang M; Wu M
    Int J Mol Sci; 2021 May; 22(11):. PubMed ID: 34073203
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Machine learning-guided discovery and design of non-hemolytic peptides.
    Plisson F; Ramírez-Sánchez O; Martínez-Hernández C
    Sci Rep; 2020 Oct; 10(1):16581. PubMed ID: 33024236
    [TBL] [Abstract][Full Text] [Related]  

  • 7. HemoNet: Predicting hemolytic activity of peptides with integrated feature learning.
    Yaseen A; Gull S; Akhtar N; Amin I; Minhas F
    J Bioinform Comput Biol; 2021 Oct; 19(5):2150021. PubMed ID: 34353244
    [TBL] [Abstract][Full Text] [Related]  

  • 8. AMPDeep: hemolytic activity prediction of antimicrobial peptides using transfer learning.
    Salem M; Keshavarzi Arshadi A; Yuan JS
    BMC Bioinformatics; 2022 Sep; 23(1):389. PubMed ID: 36163001
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Unraveling the hemolytic toxicity tapestry of peptides using chemical space complex networks.
    Castillo-Mendieta K; Agüero-Chapin G; Mora JR; Pérez N; Contreras-Torres E; Valdes-Martini JR; Martinez-Rios F; Marrero-Ponce Y
    Toxicol Sci; 2024 Dec; 202(2):236-249. PubMed ID: 39254655
    [TBL] [Abstract][Full Text] [Related]  

  • 10. HAPPENN is a novel tool for hemolytic activity prediction for therapeutic peptides which employs neural networks.
    Timmons PB; Hewage CM
    Sci Rep; 2020 Jul; 10(1):10869. PubMed ID: 32616760
    [TBL] [Abstract][Full Text] [Related]  

  • 11. AVP-IC50 Pred: Multiple machine learning techniques-based prediction of peptide antiviral activity in terms of half maximal inhibitory concentration (IC50).
    Qureshi A; Tandon H; Kumar M
    Biopolymers; 2015 Nov; 104(6):753-63. PubMed ID: 26213387
    [TBL] [Abstract][Full Text] [Related]  

  • 12. In Silico Prediction of Hemolytic Toxicity on the Human Erythrocytes for Small Molecules by Machine-Learning and Genetic Algorithm.
    Zheng S; Wang Y; Liu W; Chang W; Liang G; Xu Y; Lin F
    J Med Chem; 2020 Jun; 63(12):6499-6512. PubMed ID: 31282671
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Prediction of Hemolytic Toxicity for Saponins by Machine-Learning Methods.
    Zheng S; Wang Y; Liu H; Chang W; Xu Y; Lin F
    Chem Res Toxicol; 2019 Jun; 32(6):1014-1026. PubMed ID: 30915843
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Machine Learning Guided Discovery of Non-Hemolytic Membrane Disruptive Anticancer Peptides.
    Zakharova E; Orsi M; Capecchi A; Reymond JL
    ChemMedChem; 2022 Sep; 17(17):e202200291. PubMed ID: 35880810
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Web Server and Mobile App for Computing Hemolytic Potency of Peptides.
    Chaudhary K; Kumar R; Singh S; Tuknait A; Gautam A; Mathur D; Anand P; Varshney GC; Raghava GP
    Sci Rep; 2016 Mar; 6():22843. PubMed ID: 26953092
    [TBL] [Abstract][Full Text] [Related]  

  • 16. HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representation.
    Hasan MM; Schaduangrat N; Basith S; Lee G; Shoombuatong W; Manavalan B
    Bioinformatics; 2020 Jun; 36(11):3350-3356. PubMed ID: 32145017
    [TBL] [Abstract][Full Text] [Related]  

  • 17. HemoFuse: multi-feature fusion based on multi-head cross-attention for identification of hemolytic peptides.
    Zhao Y; Zhang S; Liang Y
    Sci Rep; 2024 Sep; 14(1):22518. PubMed ID: 39342017
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Hemolytic-Pred: A machine learning-based predictor for hemolytic proteins using position and composition-based features.
    Perveen G; Alturise F; Alkhalifah T; Daanial Khan Y
    Digit Health; 2023; 9():20552076231180739. PubMed ID: 37434723
    [TBL] [Abstract][Full Text] [Related]  

  • 19. ACP-Dnnel: anti-coronavirus peptides' prediction based on deep neural network ensemble learning.
    Liu M; Liu H; Wu T; Zhu Y; Zhou Y; Huang Z; Xiang C; Huang J
    Amino Acids; 2023 Sep; 55(9):1121-1136. PubMed ID: 37402073
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Modulation of structure and antibacterial and hemolytic activity by ring size in cyclic gramicidin S analogs.
    Kondejewski LH; Farmer SW; Wishart DS; Kay CM; Hancock RE; Hodges RS
    J Biol Chem; 1996 Oct; 271(41):25261-8. PubMed ID: 8810288
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.