4.5 Article

Molecular dynamics simulation study on the structural stabilities of polyglutamine peptides

Journal

COMPUTATIONAL BIOLOGY AND CHEMISTRY
Volume 32, Issue 2, Pages 102-110

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.compbiolchem.2007.11.001

Keywords

polyglutamine; Huntington's disease; protein aggregation; beta-helix; molecular dynamics

Ask authors/readers for more resources

It is known that Huntington's disease patients commonly have glutamine (Q) repeat sequences longer than a critical length in the coding area of Huntingtin protein in their genes. As the polyglutamine (polyQ) region becomes longer than the critical length, the disease occurs and Huntingtin protein aggregates, both in vitro and in vivo, as suggested by experimental and clinical data. The determination of polyglutamine structure is thus very important for elucidation of the aggregation and disease mechanisms. Here, we perform molecular dynamics calculations on the stability of the structure based on the P-helix structure suggested by Perutz et al. (2002) [Perutz, M.F., Finch, J.T., Berriman, J., Lesk, A., 2002. Amyloid fibers are water-filled nanotubes. Proc. Natl. Acad. Sci. USA 99, 559 1]. We ensure that perfect hydrogen bonds are present between main chains of the P-helix based on the previous studies, and perform simulations of stretches with 20, 25, 30, 37 and 40 glutamine residues (20Q, 25Q, 30Q, 37Q and 40Q) for the Perutz models with 18.5 and 20 residues per turn (one coil). Our results indicate that the structure becomes more stable with the increase of repeated number of Q, and there is a critical Q number of around 30, above which the structure of the Perutz model is kept stable. In contrast to previous studies, we started molecular dynamics simulations from conformations in which the hydrogen bonds are firmly formed between stacked main chains. This has rendered the initial P-helix structures of polyQ much more stable for longer time, as compared to those proposed previously. Model calculations for the initial structures of polyQ dimer and tetramer have also been carried out to study a possible mechanism for aggregation. (C) 2007 Elsevier Ltd. All tights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Chemistry, Multidisciplinary

i-Motifs are more stable than G-quadruplexes in a hydrated ionic liquid

Hisae Tateishi-Karimata, Miki Nakano, Smritimoy Pramanik, Shigenori Tanaka, Naoki Sugimoto

CHEMICAL COMMUNICATIONS (2015)

Article Chemistry, Physical

Local thermodynamics of the water molecules around single- and double-stranded DNA studied by grid inhomogeneous solvation theory

Miki Nakano, Hisae Tateishi-Karimata, Shigenori Tanaka, Florence Tama, Osamu Miyashita, Shu-ichi Nakano, Naoki Sugimoto

CHEMICAL PHYSICS LETTERS (2016)

Article Chemistry, Medicinal

Theoretical Analysis of Activity Cliffs among Benzofuranone-Class Pim1 Inhibitors Using the Fragment Molecular Orbital Method with Molecular Mechanics Poisson-Boltzmann Surface Area (FMO plus MM-PBSA) Approach

Chiduru Watanabe, Hirofumi Watanabe, Kaori Fukuzawa, Lorien J. Parker, Yoshio Okiyama, Hitomi Yuki, Shigeyuki Yokoyama, Hirofumi Nakano, Shigenori Tanaka, Teruki Honma

JOURNAL OF CHEMICAL INFORMATION AND MODELING (2017)

Article Instruments & Instrumentation

Three-dimensional reconstruction for coherent diffraction patterns obtained by XFEL

Miki Nakano, Osamu Miyashita, Slavica Jonic, Changyong Song, Daewoong Nam, Yasumasa Joti, Florence Tama

JOURNAL OF SYNCHROTRON RADIATION (2017)

Article Virology

Computational Analysis of the Interaction Energies between Amino Acid Residues of the Measles Virus Hemagglutinin and Its Receptors

Fengqi Xu, Shigenori Tanaka, Hirofumi Watanabe, Yasuhiro Shimane, Misako Iwasawa, Kazue Ohishi, Tadashi Maruyama

VIRUSES-BASEL (2018)

Article Chemistry, Physical

Application of singular value decomposition to the inter-fragment interaction energy analysis for ligand screening

Keiya Maruyama, Yinglei Sheng, Hirofumi Watanabe, Kaori Fukuzawa, Shigenori Tanaka

COMPUTATIONAL AND THEORETICAL CHEMISTRY (2018)

Article Instruments & Instrumentation

Single-particle XFEL 3D reconstruction of ribosome-size particles based on Fourier slice matching: requirements to reach subnanometer resolution

Miki Nakano, Osamu Miyashita, Slavica Jonic, Atsushi Tokuhisa, Florence Tama

JOURNAL OF SYNCHROTRON RADIATION (2018)

Article Chemistry, Medicinal

Discovery of Novel Spiroindoline Derivatives as Selective Tankyrase Inhibitors

Fumiyuki Shirai, Takeshi Tsumura, Yoko Yashiroda, Hitomi Yuki, Hideaki Niwa, Shin Sato, Tsubasa Chikada, Yasuko Koda, Kenichi Washizuka, Nobuko Yoshimoto, Masako Abe, Tetsuo Onuki, Yui Mazaki, Chizuko Hirama, Takehiro Fukami, Hirofumi Watanabe, Teruki Honma, Takashi Umehara, Mikako Shirouzu, Masayuki Okue, Yuko Kano, Takashi Watanabe, Kouichi Kitamura, Eiki Shitara, Yukiko Muramatsu, Haruka Yoshida, Anna Mizutani, Hiroyuki Seimiya, Minoru Yoshida, Hiroo Koyama

JOURNAL OF MEDICINAL CHEMISTRY (2019)

Review Chemistry, Multidisciplinary

How many laws has thermodynamics? What is the sense of the entropy notion? Implications for molecular physical chemistry

Evgeni B. Starikov

Summary: The research re-analyzed the two hundred years of thermodynamics' history and emphasized Carnot's priority in modern scientific research on thermodynamics.

MONATSHEFTE FUR CHEMIE (2021)

Review Chemistry, Multidisciplinary

The basic features of thermodynamics

Nils Engelbrektsson, Karl Franzen, Evgeni B. Starikov

Summary: This passage discusses how a Swedish schoolteacher, Nils Engelbrektsson, was able to theoretically derive a universally valid thermodynamic equation of state over 100 years ago. His colleague, Karl Franzen, experimentally verified his inferences, leading to a victorious outcome after a century-long struggle. Their trains of thoughts deserve careful consideration and analysis.

MONATSHEFTE FUR CHEMIE (2021)

Article Biophysics

Parameter optimization for 3D-reconstruction from XFEL diffraction patterns based on Fourier slice matching

Miki Nakano, Osamu Miyashita, Florence Tama

BIOPHYSICS AND PHYSICOBIOLOGY (2019)

Article Chemistry, Physical

Absorption shifts of diastereotopically ligated chlorophyll dimers of photosystem I

Carl-Mikael Suomivuori, Heike Fliegl, Evgeni B. Starikov, T. Silviu Balaban, Ville R. I. Kaila, Dage Sundholm

PHYSICAL CHEMISTRY CHEMICAL PHYSICS (2019)

Article Biochemistry & Molecular Biology

Development of an automated fragment molecular orbital (FMO) calculation protocol toward construction of quantum mechanical calculation database for large biomolecules

Chiduru Watanabe, Hirofumi Watanabe, Yoshio Okiyama, Daisuke Takaya, Kaori Fukuzawa, Shigenori Tanaka, Teruki Honma

CHEM-BIO INFORMATICS JOURNAL (2019)

Article Biochemistry & Molecular Biology

Towards good correlation between fragment molecular orbital interaction energies and experimental IC50 for ligand binding: A case study of p38 MAP kinase

Yinglei Sheng, Hirofumi Watanabe, Keiya Maruyama, Chiduru Watanabe, Yoshio Okiyama, Teruki Honma, Kaori Fukuzawa, Shigenori Tanaka

COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL (2018)

Article Biology

Netting into the Sophoretin pool: An approach to trace GSTP1 inhibitors for reversing chemoresistance

Kunal Bhattacharya, Shikha Mahato, Satyendra Deka, Nongmaithem Randhoni Chanu, Amit Kumar Shrivastava, Pukar Khanal

Summary: Chemoresistance, a major challenge in cancer treatment, is associated with the cellular glutathione-related detoxification system. A study has identified GSTP1 enzyme as critical in the inactivation of anticancer drugs and suggests the need for GSTP1 inhibitors to combat chemoresistance. Through molecular docking and simulations, the study found that quercetin 7-O-beta-D-glucoside showed promise as a potential candidate for addressing chemoresistance in cancer patients.

COMPUTATIONAL BIOLOGY AND CHEMISTRY (2024)

Article Biology

Structure and energetics of serum protein complex of tea adulterant dye Bismarck brown Y using experimental and computational methods

Manwi Shankar, Majji Sai Sudha Rani, Priyanka Gopi, P. Arsha, Prateek Pandya

Summary: This study investigates the interaction between the food dye BBY and the serum protein BSA. The results show that BBY binds to a specific site on BSA through hydrophobic interactions, affecting the structural stability of the protein. These findings enhance our understanding of the molecular-level interactions between BBY and BSA.

COMPUTATIONAL BIOLOGY AND CHEMISTRY (2024)

Article Biology

Implementing link prediction in protein networks via feature fusion models based on graph neural networks

Chi Zhang, Qian Gao, Ming Li, Tianfei Yu

Summary: In this study, we propose a graph neural network-based autoencoder model, AGraphSAGE, that effectively predicts protein-protein interactions across diverse biological species by integrating gene ontology.

COMPUTATIONAL BIOLOGY AND CHEMISTRY (2024)

Article Biology

Named entity recognition of rice genes and phenotypes based on BiGRU neural networks

Kangjie Wu, Liqian Xu, Xinxiang Li, Youhua Zhang, Zhenyu Yue, Yujia Gao, Yiqiong Chen

Summary: Named Entity Recognition (NER) is a crucial task in natural language processing (NLP) and big data analysis, with wide application range. This paper proposes an improved neural network method for NER of rice genes and phenotypes, which can learn semantic information in the context without feature engineering. Experimental results show that the proposed model outperforms other models.

COMPUTATIONAL BIOLOGY AND CHEMISTRY (2024)

Article Biology

Revisiting structural organization of proteins at high temperature from a network perspective

Suman Hait, Sudip Kundu

Summary: Interactions between amino acids in proteins are crucial for stability and structural integrity. Thermophiles have more and more stable interactions to survive in extreme environments. Different types of interactions are enriched in different structural regions.

COMPUTATIONAL BIOLOGY AND CHEMISTRY (2024)

Article Biology

XL1R-Net: Explainable AI-driven improved LI-regularized deep neural architecture for NSCLC biomarker identification

Kountay Dwivedi, Ankit Rajpal, Sheetal Rajpal, Virendra Kumar, Manoj Agarwal, Naveen Kumar

Summary: This study aims to identify biomarkers for non-small cell lung cancer (NSCLC) using copy number variation (CNV) data. A novel deep learning architecture, XL1R-Net, is proposed to improve the classification accuracy for NSCLC subtyping. Twenty NSCLC-relevant biomarkers are uncovered using explainable AI (XAI)-based feature identification. The results show that the identified biomarkers have high classification performance and clinical relevance. Additionally, twelve of the biomarkers are potentially druggable and eighteen of them have a high probability of predicting NSCLC patients' survival likelihood according to the Drug-Gene Interaction Database and the K-M Plotter tool, respectively. This research suggests that investigating these seven novel biomarkers can contribute to NSCLC therapy, and the integration of multiomics data and other sources will help better understand NSCLC heterogeneity.

COMPUTATIONAL BIOLOGY AND CHEMISTRY (2024)

Article Biology

AMPCDA: Prediction of circRNA-disease associations by utilizing attention mechanisms on metapaths

Pengli Lu, Wenqi Zhang, Jinkai Wu

Summary: Researchers have developed a computational method, AMPCDA, to predict circRNA-disease associations using predefined metapaths, achieving high predictive accuracy. This method effectively combines node embeddings with higher-order neighborhood representations and provides valuable guidance for revealing new disease mechanisms in biological research.

COMPUTATIONAL BIOLOGY AND CHEMISTRY (2024)