| Multi-self-overlap ensemble for protein folding: ground state search and thermodynamics G Chikenji, M Kikuchi, Y Iba Physical Review Letters 83 (9), 1886, 1999 | 124 | 1999 |
| Simulation of lattice polymers with multi-self-overlap ensemble Y Iba, G Chikenji, M Kikuchi Journal of the Physical Society of Japan 67 (10), 3327-3330, 1998 | 96 | 1998 |
| Shaping up the protein folding funnel by local interaction: lesson from a structure prediction study G Chikenji, Y Fujitsuka, S Takada Proceedings of the National Academy of Sciences 103 (9), 3141-3146, 2006 | 78 | 2006 |
| A reversible fragment assembly method for de novo protein structure prediction G Chikenji, Y Fujitsuka, S Takada The Journal of chemical physics 119 (13), 6895-6903, 2003 | 69 | 2003 |
| MICAN : a protein structure alignment algorithm that can handle Multiple-chains, Inverse alignments, C α only models, Alternative alignments, and … S Minami, K Sawada, G Chikenji BMC bioinformatics 14, 1-22, 2013 | 66 | 2013 |
| Folding energy landscape and network dynamics of small globular proteins N Hori, G Chikenji, RS Berry, S Takada Proceedings of the National Academy of Sciences 106 (1), 73-78, 2009 | 65 | 2009 |
| SimFold energy function for de novo protein structure prediction: consensus with Rosetta Y Fujitsuka, G Chikenji, S Takada Proteins: Structure, Function, and Bioinformatics 62 (2), 381-398, 2006 | 64 | 2006 |
| What is the role of non-native intermediates of β-lactoglobulin in protein folding? G Chikenji, M Kikuchi Proceedings of the National Academy of Sciences 97 (26), 14273-14277, 2000 | 60 | 2000 |
| Identification of potential inhibitors based on compound proposal contest: Tyrosine-protein kinase Yes as a target. S Chiba, K Ikeda, T Ishida, MM Gromiha, YH Taguchi, M Iwadate, ... Scientific reports 5, 17209-17209, 2015 | 46 | 2015 |
| An iterative compound screening contest method for identifying target protein inhibitors using the tyrosine-protein kinase Yes S Chiba, T Ishida, K Ikeda, M Mochizuki, R Teramoto, Y Taguchi, ... Scientific Reports 7 (1), 12038, 2017 | 33 | 2017 |
| Protein folding mechanisms and energy landscape of src SH3 domain studied by a structure prediction toolbox G Chikenji, Y Fujitsuka, S Takada Chemical physics 307 (2-3), 157-162, 2004 | 24 | 2004 |
| A prospective compound screening contest identified broader inhibitors for Sirtuin 1 S Chiba, M Ohue, A Gryniukova, P Borysko, S Zozulya, N Yasuo, ... Scientific Reports 9 (1), 19585, 2019 | 21 | 2019 |
| How a Spatial Arrangement of Secondary Structure Elements Is Dispersed in the Universe of Protein Folds S Minami, K Sawada, G Chikenji PLoS ONE 9 (9), e107959, 2014 | 19 | 2014 |
| Roles of DNA looping in enhancer-blocking activity N Tokuda, M Sasai, G Chikenji Biophysical journal 100 (1), 126-134, 2011 | 16 | 2011 |
| Exploration of novel αβ-protein folds through de novo design S Minami, N Kobayashi, T Sugiki, T Nagashima, T Fujiwara, ... Nature Structural & Molecular Biology 30 (8), 1132-1140, 2023 | 14 | 2023 |
| MICAN-SQ: A sequential protein structure alignment program that is applicable to monomers and all types of oligomers S Minami, K Sawada, M Ota, G Chikenji Bioinformatics 34 (19), 3324–3331, 2018 | 14 | 2018 |
| Cooperativity and modularity in protein folding M Sasai, G Chikenji, TP Terada Biophysics and Physicobiology 13, 281-293, 2016 | 10 | 2016 |
| VS-APPLE: A Virtual Screening Algorithm Using Promiscuous Protein–Ligand Complexes T Okuno, K Kato, TP Terada, M Sasai, G Chikenji Journal of chemical information and modeling 55 (6), 1108–1119, 2015 | 10 | 2015 |
| Lattice protein design using Bayesian learning T Takahashi, G Chikenji, K Tokita Physical Review E 104 (1), 014404, 2021 | 9 | 2021 |
| In silico chaperonin-like cycle helps folding of proteins for structure prediction T Furuta, Y Fujitsuka, G Chikenji, S Takada Biophysical journal 94 (7), 2558-2565, 2008 | 5 | 2008 |
Shoji TakadaKyoto UniversityVerified email at biophys.kyoto-u.ac.jp
