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 *

169 related articles for article (PubMed ID: 38295475)

  • 1. DRBpred: A sequence-based machine learning method to effectively predict DNA- and RNA-binding residues.
    Kabir MWU; Alawad DM; Pokhrel P; Hoque MT
    Comput Biol Med; 2024 Mar; 170():108081. PubMed ID: 38295475
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A boosting approach for prediction of protein-RNA binding residues.
    Tang Y; Liu D; Wang Z; Wen T; Deng L
    BMC Bioinformatics; 2017 Dec; 18(Suppl 13):465. PubMed ID: 29219069
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Protein-RNA interface residue prediction using machine learning: an assessment of the state of the art.
    Walia RR; Caragea C; Lewis BA; Towfic F; Terribilini M; El-Manzalawy Y; Dobbs D; Honavar V
    BMC Bioinformatics; 2012 May; 13():89. PubMed ID: 22574904
    [TBL] [Abstract][Full Text] [Related]  

  • 4. EPDRNA: A Model for Identifying DNA-RNA Binding Sites in Disease-Related Proteins.
    Sun C; Feng Y
    Protein J; 2024 Jun; 43(3):513-521. PubMed ID: 38491248
    [TBL] [Abstract][Full Text] [Related]  

  • 5. PDRLGB: precise DNA-binding residue prediction using a light gradient boosting machine.
    Deng L; Pan J; Xu X; Yang W; Liu C; Liu H
    BMC Bioinformatics; 2018 Dec; 19(Suppl 19):522. PubMed ID: 30598073
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Predicting RNA-binding residues from evolutionary information and sequence conservation.
    Huang YF; Chiu LY; Huang CC; Huang CK
    BMC Genomics; 2010 Dec; 11 Suppl 4(Suppl 4):S2. PubMed ID: 21143803
    [TBL] [Abstract][Full Text] [Related]  

  • 7. SVM based prediction of RNA-binding proteins using binding residues and evolutionary information.
    Kumar M; Gromiha MM; Raghava GP
    J Mol Recognit; 2011; 24(2):303-13. PubMed ID: 20677174
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A comprehensive comparative review of sequence-based predictors of DNA- and RNA-binding residues.
    Yan J; Friedrich S; Kurgan L
    Brief Bioinform; 2016 Jan; 17(1):88-105. PubMed ID: 25935161
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Predicting RNA-binding sites of proteins using support vector machines and evolutionary information.
    Cheng CW; Su EC; Hwang JK; Sung TY; Hsu WL
    BMC Bioinformatics; 2008 Dec; 9 Suppl 12(Suppl 12):S6. PubMed ID: 19091029
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Comprehensive review and empirical analysis of hallmarks of DNA-, RNA- and protein-binding residues in protein chains.
    Zhang J; Ma Z; Kurgan L
    Brief Bioinform; 2019 Jul; 20(4):1250-1268. PubMed ID: 29253082
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Target-DBPPred: An intelligent model for prediction of DNA-binding proteins using discrete wavelet transform based compression and light eXtreme gradient boosting.
    Ali F; Kumar H; Patil S; Kotecha K; Banjar A; Daud A
    Comput Biol Med; 2022 Jun; 145():105533. PubMed ID: 35447463
    [TBL] [Abstract][Full Text] [Related]  

  • 12. IDRBP-PPCT: Identifying Nucleic Acid-Binding Proteins Based on Position-Specific Score Matrix and Position-Specific Frequency Matrix Cross Transformation.
    Wang N; Zhang J; Liu B
    IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(4):2284-2293. PubMed ID: 33780341
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A MOTIF-BASED METHOD FOR PREDICTING INTERFACIAL RESIDUES IN BOTH THE RNA AND PROTEIN COMPONENTS OF PROTEIN-RNA COMPLEXES.
    Muppirala U; Lewis BA; Mann CM; Dobbs D
    Pac Symp Biocomput; 2016; 21():445-455. PubMed ID: 26776208
    [TBL] [Abstract][Full Text] [Related]  

  • 14. iDRBP-EL: Identifying DNA- and RNA- Binding Proteins Based on Hierarchical Ensemble Learning.
    Wang N; Zhang J; Liu B
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(1):432-441. PubMed ID: 34932484
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Single-stranded and double-stranded DNA-binding protein prediction using HMM profiles.
    Sharma R; Kumar S; Tsunoda T; Kumarevel T; Sharma A
    Anal Biochem; 2021 Jan; 612():113954. PubMed ID: 32946833
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of RNA-binding sites in proteins by integrating various sequence information.
    Wang CC; Fang Y; Xiao J; Li M
    Amino Acids; 2011 Jan; 40(1):239-48. PubMed ID: 20549269
    [TBL] [Abstract][Full Text] [Related]  

  • 17. HMMPred: Accurate Prediction of DNA-Binding Proteins Based on HMM Profiles and XGBoost Feature Selection.
    Sang X; Xiao W; Zheng H; Yang Y; Liu T
    Comput Math Methods Med; 2020; 2020():1384749. PubMed ID: 32300371
    [TBL] [Abstract][Full Text] [Related]  

  • 18. DP-BINDER: machine learning model for prediction of DNA-binding proteins by fusing evolutionary and physicochemical information.
    Ali F; Ahmed S; Swati ZNK; Akbar S
    J Comput Aided Mol Des; 2019 Jul; 33(7):645-658. PubMed ID: 31123959
    [TBL] [Abstract][Full Text] [Related]  

  • 19. DBP-PSSM: Combination of Evolutionary Profiles with the XGBoost Algorithm to Improve the Identification of DNA-binding Proteins.
    Zhang Y; Chen P; Gao Y; Ni J; Wang X
    Comb Chem High Throughput Screen; 2022; 25(1):3-12. PubMed ID: 33238837
    [TBL] [Abstract][Full Text] [Related]  

  • 20. AIRBP: Accurate identification of RNA-binding proteins using machine learning techniques.
    Mishra A; Khanal R; Kabir WU; Hoque T
    Artif Intell Med; 2021 Mar; 113():102034. PubMed ID: 33685590
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.