Throughout the whole preparation process of Metlab, we paid attention to every suggestion from the professions and the peers.
April, we came up to build a metabolic-network-related tool, and soon consulted Prof. Tao to make sure that our idea is worth developing. At the same time, he raised the challenges.
May, when we were digging the background, the communication with Prof. Wang pushed us to enlarge our database for network alignment.
Summertime, we sought suggestions aboard. It is highly effective that we made our tool far more comprehensive and user-friendly by adding other related functions and achieving visualization.
In the meantime, we kept active communication with organizations and teams all over the world. Every presentation we made to others helped our Metlab become better.
May, when we were digging the background, the communication with Prof. Wang pushed us to enlarge our database for network alignment.
Summertime, we sought suggestions aboard. It is highly effective that we made our tool far more comprehensive and user-friendly by adding other related functions and achieving visualization.
In the meantime, we kept active communication with organizations and teams all over the world. Every presentation we made to others helped our Metlab become better.
Each step, we keep improving our project based on researchers'needs and doubts.
That’s what we truly care.
The details are as follows.
That’s what we truly care.
The details are as follows.
Expert Interview
Prof. Fei Tao
School of Life Sciences & Biotechnology
Shanghai Jiao Tong University
Dr. Tao is now an associate professor of SJTU. He has been engaged in the research of microbial synthetic biology since he got the doctoral degree. He mainly focuses on developing efficient cell factories and advanced biocatalytic technology based on the concept of synthetic biology.
Our interview concentrated on the topic “Application of metabolic network alignment tool in the laboratory”. Dr. Tao told us design of metabolic networks in synthetic biology focus on these aspects: 1.Yield; 2. Efficiency(in A -> B, concentration of B/A); 3. Period. Then we briefly introduced the idea of our software (a metabolic network alignment tool). Dr. Tao was greatly interest in the tool. He also analyzed a number of factors that lead to the difficulty of metabolic network alignment. How to evaluate similarity of two metabolic networks? How to grade the result of alignment? How to evaluate similarity of different compound…… His opinion made us have a deeper understanding of how make our software more practical and functional in the laboratory.
Prof. Zhuo Wang
Department of Bioinformatics and Biostatistics
Shanghai Jiao Tong University
Prof. Zhuo Wang is an expert in computational system biology. Her store of knowledge in the field of system biology helped us a lot in the project. At the first time of our interview, she expressed her praise towards our idea of building a network alignment tool. Meanwhile, she listed a few methods already existed for the network alignment for us to study and improve.
Later, Prof.Wang reminded us that we should not only focus on the alignment within E.coli, but also need to expand it to other bacteria. This is because in reality, there are far more engineering strains that could benefit from our software. Moreover, a larger number of bacteria involved makes our database richer and larger.
Prof. Daniel Figeys
Department of Biochemistry, Microbiology and Immunology
University of Ottawa
Daniel Figeys is a Professor and the Chair of the Department of Biochemistry, Microbiology and Immunology (BMI) and cross-appointed in the Department of Chemistry and Biomolecular Sciences at the University of Ottawa. He is also a Canada Research Chair in Proteomics and Systems Biology. His expertise is in the development of proteomics and systems biology and more recently in metaproteomics for microbial community analysis.
In Prof. Daniel Figeys’s Lab, they have developed a advanced bioinformatics software “iMetaLab”. Their project is originally designed for human/mouse gut metaproteomics protein identification and quantification, rooted from the MetaProIQ workflow. Upon the rising request, they wrap up the workflow into a desktop standalone version, with taxon analysis module built in. In the meantime, they have been working on some meta-function annotation and enrichment analysis, as well as some data visualization modules. Then they realize that it would be good to wrap up all related functions and share them to the community. They aim to make iMetaLab a free and one-stop toolset for gut metaproteomics, with increasing amount of tools under development. This interview inspired us how to make our software “Metlab: a metabolic network alignment tool” more user-friendly and complete. The process of their software development enlightened us to make “Metlab” a functional toolset with many tools related metabolic network.
Dr. Juntao Mai
PhD in Molecular biology
University of Toronto
Juntao Mai works at the department of molecular genetics, University of Toronto. During one of our team members’ exchange there, he gave many valuable advice on the improvement of the project. For the most important part, he recommended that we should add a function of metabolites comparison. Based on his research experiences, he was always troubled by changing from one software to another to finding interested molecules from network. And there are always problems of format conversion between different tools. We took his advice, and took a step further. At the end, we completed a toolkit including network visualization, network alignment, SMILES comparison and DNA editing.
