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 *

122 related articles for article (PubMed ID: 37356902)

  • 21. Effects of side-chain characteristics on stability and oligomerization state of a de novo-designed model coiled-coil: 20 amino acid substitutions in position "d".
    Tripet B; Wagschal K; Lavigne P; Mant CT; Hodges RS
    J Mol Biol; 2000 Jul; 300(2):377-402. PubMed ID: 10873472
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Prior knowledge facilitates low homologous protein secondary structure prediction with DSM distillation.
    Wang Q; Wei J; Zhou Y; Lin M; Ren R; Wang S; Cui S; Li Z
    Bioinformatics; 2022 Jul; 38(14):3574-3581. PubMed ID: 35652719
    [TBL] [Abstract][Full Text] [Related]  

  • 23. PSSM-based prediction of DNA binding sites in proteins.
    Ahmad S; Sarai A
    BMC Bioinformatics; 2005 Feb; 6():33. PubMed ID: 15720719
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Analysis of several key factors influencing deep learning-based inter-residue contact prediction.
    Wu T; Hou J; Adhikari B; Cheng J
    Bioinformatics; 2020 Feb; 36(4):1091-1098. PubMed ID: 31504181
    [TBL] [Abstract][Full Text] [Related]  

  • 25. PFASUM: a substitution matrix from Pfam structural alignments.
    Keul F; Hess M; Goesele M; Hamacher K
    BMC Bioinformatics; 2017 Jun; 18(1):293. PubMed ID: 28583067
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Protein stability: a single recorded mutation aids in predicting the effects of other mutations in the same amino acid site.
    Wainreb G; Wolf L; Ashkenazy H; Dehouck Y; Ben-Tal N
    Bioinformatics; 2011 Dec; 27(23):3286-92. PubMed ID: 21998155
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Rapid protein stability prediction using deep learning representations.
    Blaabjerg LM; Kassem MM; Good LL; Jonsson N; Cagiada M; Johansson KE; Boomsma W; Stein A; Lindorff-Larsen K
    Elife; 2023 May; 12():. PubMed ID: 37184062
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Prediction of deleterious functional effects of amino acid mutations using a library of structure-based function descriptors.
    Herrgard S; Cammer SA; Hoffman BT; Knutson S; Gallina M; Speir JA; Fetrow JS; Baxter SM
    Proteins; 2003 Dec; 53(4):806-16. PubMed ID: 14635123
    [TBL] [Abstract][Full Text] [Related]  

  • 29. PR2ALIGN: a stand-alone software program and a web-server for protein sequence alignment using weighted biochemical properties of amino acids.
    Kuznetsov IB; McDuffie M
    BMC Res Notes; 2015 May; 8():187. PubMed ID: 25947299
    [TBL] [Abstract][Full Text] [Related]  

  • 30. The choice of sequence homologs included in multiple sequence alignments has a dramatic impact on evolutionary conservation analysis.
    Gil N; Fiser A
    Bioinformatics; 2019 Jan; 35(1):12-19. PubMed ID: 29947739
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Profile comparison revealed deviation from structural constraint at the positively selected sites.
    Oda H; Ota M; Toh H
    Biosystems; 2016 Sep; 147():67-77. PubMed ID: 27443483
    [TBL] [Abstract][Full Text] [Related]  

  • 32. The ConSurf-HSSP database: the mapping of evolutionary conservation among homologs onto PDB structures.
    Glaser F; Rosenberg Y; Kessel A; Pupko T; Ben-Tal N
    Proteins; 2005 Feb; 58(3):610-7. PubMed ID: 15614759
    [TBL] [Abstract][Full Text] [Related]  

  • 33. SPOT-Disorder2: Improved Protein Intrinsic Disorder Prediction by Ensembled Deep Learning.
    Hanson J; Paliwal KK; Litfin T; Zhou Y
    Genomics Proteomics Bioinformatics; 2019 Dec; 17(6):645-656. PubMed ID: 32173600
    [TBL] [Abstract][Full Text] [Related]  

  • 34. 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]  

  • 35. Improving protein-protein interaction prediction using evolutionary information from low-quality MSAs.
    Várnai C; Burkoff NS; Wild DL
    PLoS One; 2017; 12(2):e0169356. PubMed ID: 28166227
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Codon-level information improves predictions of inter-residue contacts in proteins by correlated mutation analysis.
    Jacob E; Unger R; Horovitz A
    Elife; 2015 Sep; 4():e08932. PubMed ID: 26371555
    [TBL] [Abstract][Full Text] [Related]  

  • 37. SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition.
    Melvin I; Ie E; Kuang R; Weston J; Stafford WN; Leslie C
    BMC Bioinformatics; 2007 May; 8 Suppl 4(Suppl 4):S2. PubMed ID: 17570145
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Single-sequence protein structure prediction using a language model and deep learning.
    Chowdhury R; Bouatta N; Biswas S; Floristean C; Kharkar A; Roy K; Rochereau C; Ahdritz G; Zhang J; Church GM; Sorger PK; AlQuraishi M
    Nat Biotechnol; 2022 Nov; 40(11):1617-1623. PubMed ID: 36192636
    [TBL] [Abstract][Full Text] [Related]  

  • 39. DNCON2_Inter: predicting interchain contacts for homodimeric and homomultimeric protein complexes using multiple sequence alignments of monomers and deep learning.
    Quadir F; Roy RS; Halfmann R; Cheng J
    Sci Rep; 2021 Jun; 11(1):12295. PubMed ID: 34112907
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Protein language-model embeddings for fast, accurate, and alignment-free protein structure prediction.
    Weissenow K; Heinzinger M; Rost B
    Structure; 2022 Aug; 30(8):1169-1177.e4. PubMed ID: 35609601
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.