PPIM: A Protein-Protein Interaction Database for Maize.

Maize (Zea mays) is one of the most important crops worldwide. To understand the biological processes underlying various traits of the crop (e.g.

Inferring gene regulatory networks from gene expression data by path consistency algorithm based on conditional mutual information.

Motivation: Reconstruction of gene regulatory networks (GRNs), which explicitly represent the causality of developmental or regulatory process, is of utmost interest and has become a challenging computational problem for understanding the complex regulatory mechanisms in cellular systems. However, all existing methods of inferring GRNs from gene expression profiles have their strengths and weaknesses. In particular, many properties of GRNs, such as topology sparseness and non-linear dependence, are generally in regulation mechanism but seldom are taken into account simultaneously in one computational method.

DIPOS: database of interacting proteins in Oryza sativa.

Rice is an important crop throughout the world and is the staple food for about half the world's population. For better breeding and improved production, we need to know the function of rice molecules which facilitate their function through interactions with each other. The database of interacting proteins in Oryza sativa (DIPOS) provides comprehensive information of interacting proteins in rice, where the interactions are predicted using two computational methods, i.

A phase II clinical trial with cytotropic heterogeneous molecular lipids (CHML) for patients with hepatic malignancies.

Hepatocellular carcinoma (HCC) and other forms of metastatic liver cancer (MLC) have poor outcomes due to the limited treatment options. Surgery, radiotherapy and chemotherapy have a limited success. Thus, there is an urgent need for novel therapies for patients with advanced HCC and MLC.