RVMAB: Using the Relevance Vector Machine Model Combined with Average Blocks to Predict the Interactions of Proteins from Protein Sequences

By An Ji-Yong   You Zhu-Hong   Meng Fan-Rong   Xu Shu-Juan   Wang Yin  

International Journal of Molecular Sciences, Vol. 17, Iss. 5, 2016-05 ,pp. : 757-757

MDPI

Access to resources Recommend Favorite

Using Support Vector Machine and Evolutionary Profiles to Predict Antifreeze Protein Sequences

By Zhao Xiaowei   Ma Zhiqiang   Yin Minghao  

International Journal of Molecular Sciences, Vol. 13, Iss. 2, 2012-02 ,pp. : 2196-2207

MDPI

Access to resources Recommend Favorite

Prediction of Protein–Protein Interactions by Evidence Combining Methods

By Chang Ji-Wei   Zhou Yan-Qing   Ul Qamar Muhammad Tahir   Chen Ling-Ling   Ding Yu-Duan  

International Journal of Molecular Sciences, Vol. 17, Iss. 11, 2016-11 ,pp. : 1946-1946

MDPI

Access to resources Recommend Favorite

Identification of Protein–Protein Interactions via a Novel Matrix-Based Sequence Representation Model with Amino Acid Contact Information

By Ding Yijie   Tang Jijun   Guo Fei  

International Journal of Molecular Sciences, Vol. 17, Iss. 10, 2016-09 ,pp. : 1623-1623

MDPI

Access to resources Recommend Favorite

Analysis of Protein–Protein Interactions in MCF-7 and MDA-MB-231 Cell Lines Using Phthalic Acid Chemical Probes

By Liang Shih-Shin   Wang Tsu-Nai   Tsai Eing-Mei  

International Journal of Molecular Sciences, Vol. 15, Iss. 11, 2014-11 ,pp. : 20770-20788

MDPI

Access to resources Recommend Favorite