Shinada NK - Search Results

1

Optimizing machine-learning models for mutagenicity prediction through better feature selection.

Shinada NK, Koyama N, Ikemori M, Nishioka T, Hitaoka S, Hakura A, Asakura S, Matsuoka Y, Palaniappan SK. Shinada NK, et al. Mutagenesis. 2022 Oct 26;37(3-4):191-202. doi: 10.1093/mutage/geac010. Mutagenesis. 2022. PMID: 35554560

2

V_HH Structural Modelling Approaches: A Critical Review.

Vishwakarma P, Vattekatte AM, Shinada N, Diharce J, Martins C, Cadet F, Gardebien F, Etchebest C, Nadaradjane AA, de Brevern AG. Vishwakarma P, et al. Int J Mol Sci. 2022 Mar 28;23(7):3721. doi: 10.3390/ijms23073721. Int J Mol Sci. 2022. PMID: 35409081 Free PMC article. Review.

3

Discrete analysis of camelid variable domains: sequences, structures, and in-silico structure prediction.

Melarkode Vattekatte A, Shinada NK, Narwani TJ, Noël F, Bertrand O, Meyniel JP, Malpertuy A, Gelly JC, Cadet F, de Brevern AG. Melarkode Vattekatte A, et al. Among authors: shinada nk. PeerJ. 2020 Mar 6;8:e8408. doi: 10.7717/peerj.8408. eCollection 2020. PeerJ. 2020. PMID: 32185102 Free PMC article.

4

Halogens in Protein-Ligand Binding Mechanism: A Structural Perspective.

Shinada NK, de Brevern AG, Schmidtke P. Shinada NK, et al. J Med Chem. 2019 Nov 14;62(21):9341-9356. doi: 10.1021/acs.jmedchem.8b01453. Epub 2019 May 28. J Med Chem. 2019. PMID: 31117513 Review.

5

Discrete analyses of protein dynamics.

Narwani TJ, Craveur P, Shinada NK, Floch A, Santuz H, Vattekatte AM, Srinivasan N, Rebehmed J, Gelly JC, Etchebest C, de Brevern AG. Narwani TJ, et al. Among authors: shinada nk. J Biomol Struct Dyn. 2020 Jul;38(10):2988-3002. doi: 10.1080/07391102.2019.1650112. Epub 2019 Aug 12. J Biomol Struct Dyn. 2020. PMID: 31361191 Free article.

6

Data set of intrinsically disordered proteins analysed at a local protein conformation level.

Melarkode Vattekatte A, Narwani TJ, Floch A, Maljković M, Bisoo S, Shinada NK, Kranjc A, Gelly JC, Srinivasan N, Mitić N, de Brevern AG. Melarkode Vattekatte A, et al. Among authors: shinada nk. Data Brief. 2020 Mar 5;29:105383. doi: 10.1016/j.dib.2020.105383. eCollection 2020 Apr. Data Brief. 2020. PMID: 32195305 Free PMC article.

7

Protein flexibility in the light of structural alphabets.

Craveur P, Joseph AP, Esque J, Narwani TJ, Noël F, Shinada N, Goguet M, Leonard S, Poulain P, Bertrand O, Faure G, Rebehmed J, Ghozlane A, Swapna LS, Bhaskara RM, Barnoud J, Téletchéa S, Jallu V, Cerny J, Schneider B, Etchebest C, Srinivasan N, Gelly JC, de Brevern AG. Craveur P, et al. Front Mol Biosci. 2015 May 27;2:20. doi: 10.3389/fmolb.2015.00020. eCollection 2015. Front Mol Biosci. 2015. PMID: 26075209 Free PMC article. Review.

8

Recent advances on polyproline II.

Narwani TJ, Santuz H, Shinada N, Melarkode Vattekatte A, Ghouzam Y, Srinivasan N, Gelly JC, de Brevern AG. Narwani TJ, et al. Amino Acids. 2017 Apr;49(4):705-713. doi: 10.1007/s00726-017-2385-6. Epub 2017 Feb 9. Amino Acids. 2017. PMID: 28185014 Free article. Review.

9

A structural entropy index to analyse local conformations in intrinsically disordered proteins.

Akhila MV, Narwani TJ, Floch A, Maljković M, Bisoo S, Shinada NK, Kranjc A, Gelly JC, Srinivasan N, Mitić N, de Brevern AG. Akhila MV, et al. Among authors: shinada nk. J Struct Biol. 2020 Apr 1;210(1):107464. doi: 10.1016/j.jsb.2020.107464. Epub 2020 Jan 21. J Struct Biol. 2020. PMID: 31978465 Free article.

10

Accurate Representation of Protein-Ligand Structural Diversity in the Protein Data Bank (PDB).

Shinada NK, Schmidtke P, de Brevern AG. Shinada NK, et al. Int J Mol Sci. 2020 Mar 24;21(6):2243. doi: 10.3390/ijms21062243. Int J Mol Sci. 2020. PMID: 32213914 Free PMC article.

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