著者

Hideaki Umeyama Mitsuo Iwadate Y-h. Taguchi

出版者

一般社団法人 情報処理学会

雑誌

IPSJ Transactions on Bioinformatics (ISSN:18826679)

巻号頁・発行日

vol.8, pp.14-20, 2015 (Released:2015-08-19)

参考文献数

31

---

Background: Spleen tyrosine kinase (SYK) is a protein related to various diseases. Aberrant SYK expression often causes the progression and initiation of several diseases including cancer and autoimmune diseases. Despite the importance of inhibiting SYK and identifying candidate inhibitors, no clinically effective inhibitors have been reported to date. Therefore, there is a need for novel SYK inhibitors. Results: Candidate compounds were investigated using in silico screening by chooseLD, which simulates ligand docking to proteins. Using this system, known inhibitors were correctly recognized as compounds with high affinity to SYK. Furthermore, many compounds in the DrugBank database were newly identified as having high affinity to the ATP-binding sites in the kinase domain with a similar affinity to previously reported inhibitors. Conclusions: Many drug candidate compounds from the DrugBank database were newly identified as inhibitors of SYK. Because compounds registered in the DrugBank are expected to have fewer side effects than currently available compounds, these newly identified compounds may be clinically useful inhibitors of SYK for the treatment of various diseases.

著者

Yuuichi Nakano Mitsuo Iwadate Hideaki Umeyama Y-h. Taguchi

出版者

一般社団法人 情報処理学会

雑誌

IPSJ Transactions on Bioinformatics (ISSN:18826679)

巻号頁・発行日

vol.7, pp.2-15, 2014 (Released:2014-01-17)

参考文献数

15

被引用文献数

1

---

Type III secretion system (T3SS) effector protein is a part of bacterial secretion systems. T3SS exists in the pathogenic and symbiotic bacteria. How the T3SS effector proteins in these two classes differ from each other should be interesting. In this paper, we successfully discriminated T3SS effector proteins between plant pathogenic, animal pathogenic and plant symbiotic bacteria based on feature vectors inferred computationally by Yahara et al. only from amino acid sequences. This suggests that these three classes of bacteria employ distinct T3SS effector proteins. We also hypothesized that the feature vector proposed by Yahara et al. represents protein structure, possibly protein folds defined in Structural Classification of Proteins (SCOP) database.

著者

Yuuichi Nakano Mitsuo Iwadate Hideaki Umeyama Y-h. Taguchi

出版者

Information and Media Technologies 編集運営会議

雑誌

Information and Media Technologies (ISSN:18810896)

巻号頁・発行日

vol.9, no.1, pp.141-154, 2014 (Released:2014-03-15)

参考文献数

15

---

Type III secretion system (T3SS) effector protein is a part of bacterial secretion systems. T3SS exists in the pathogenic and symbiotic bacteria. How the T3SS effector proteins in these two classes differ from each other should be interesting. In this paper, we successfully discriminated T3SS effector proteins between plant pathogenic, animal pathogenic and plant symbiotic bacteria based on feature vectors inferred computationally by Yahara et al. only from amino acid sequences. This suggests that these three classes of bacteria employ distinct T3SS effector proteins. We also hypothesized that the feature vector proposed by Yahara et al. represents protein structure, possibly protein folds defined in Structural Classification of Proteins (SCOP) database.

著者

Yuuichi Nakano Mitsuo Iwadate Hideaki Umeyama Y-H.Taguchi

雑誌

研究報告バイオ情報学(BIO)

巻号頁・発行日

vol.2013-BIO-34, no.10, pp.1-8, 2013-06-20

---

Type III secretion system (T3SS) effector protein is a part of bacterial secretion systems. T3SS exists in the pathogenic and symbiotic bacteria. How the T3SS effector proteins in these two classes differ from each other should be interesting. In this paper, we proposed the usage of principal component analysis based linear discriminant analysis that discriminates T3SS effector proteins between plant pathogenic, animal pathogenic and plant symbiotic bacteria by the accuracy of 0.77. We also hypothesized that the feature vector proposed by Yahara et al represents protein structure, possibly protein folds defined in Structural Classification of Proteins (SCOP) database.

著者

Shigeharu Ishida Hideaki Umeyama Mitsuo Iwadate Y-h.Taguchi

雑誌

研究報告バイオ情報学(BIO)

巻号頁・発行日

vol.2012, no.12, pp.1-6, 2012-06-21

---

Drug discovery for autoimmune diseases is recently recognized to be an important task. In this study, we try to perform structure prediction of proteins whose gene promoter regions were previous reported to be specifically methelysed or de-methylased commonly for three autoimmune diseases, systemic lupus erythematosus, rheumatoid arthritis, and dermatomyositis. FAMS were employed for this purpose and we can predict three dimensional structure with significantly small enough P-values. Most of them are suggested to be self immunology related proteins and will be important drug target candidates. We also found some proteins which form complex with each other. The possibility of a new drug target, i.e., suppression of protein complex formation is suggested.Drug discovery for autoimmune diseases is recently recognized to be an important task. In this study, we try to perform structure prediction of proteins whose gene promoter regions were previous reported to be specifically methelysed or de-methylased commonly for three autoimmune diseases, systemic lupus erythematosus, rheumatoid arthritis, and dermatomyositis. FAMS were employed for this purpose and we can predict three dimensional structure with significantly small enough P-values. Most of them are suggested to be self immunology related proteins and will be important drug target candidates. We also found some proteins which form complex with each other. The possibility of a new drug target, i.e., suppression of protein complex formation is suggested.