Study of telomerase-related gene analysis for potential drug target prediction in breast cancer

Published: 26 July 2022 by MDPI in MOL2NET'22, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 8th ed. congress CHEMBIO.ORG-08: Org. Chem., Med. Chem., Mol. Biol., & Pharm. Industry Congress, Paris, France-Galveston, USA, 2022.

https://doi.org/10.3390/mol2net-08-12857

Abstract:

The protein-protein interaction network (PPIN) is essential for functional processing and mechanism of multiple complex diseases. Recently, control theory has applied to protein interaction with the aims of identify the minimum set of nodes that can drive the whole network to the desired state. Here, we use different statistic network inference methods to generate the highest-scored re-ranking gene list as the source for constructing protein-protein interaction network. Then we characterize structural controllability of directed and weighted PPINs for breast cancer stages. The maximum matching approach for controllability analysis allows classifying nodes into three categories: critical, intermittent and redundant. This leads to identifying the most important proteins as critical nodes for each stage of breast cancer. In total, 70 critical nodes as drug targets have been revealed across stages in this study.

Keywords: control theory, breast cancer, drug targets, maximum matching, protein-protein interaction network; critical, intermittent and redundant nodes

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Maider Baltasar Marchueta

3 January 2023

Dear authors thank you for your support to the conference.

Now we closed the publication phase and launched the post-publication phase of the conference. REVIEWWWERS'08 Brainstorming Workshop is Now Open from 2023-Jan-01 to 2023-Jan-31. MOL2NET Committee, Authors, and Validated Social Media Followers Worldwide are invited to Post Moderated Questions/Answers, Comments, about papers. Please kindly post your public Answers (A) to the following questions in order to promote interchange of scientific ideas.

My Question (Q) to you:
Q1. What is the potential of your method/algorithm to develop a company startup idea based on it?
Q2. Does the method you described take into account different diseases apparto from breast cancer?

Dear author thanks in advance for your kind support answering the questions.

Now, the conference publication phase is close but you can answer here directly as a post-publication comment. However, in case you want to elaborate your answers in a more structured way in the form of a short communication we can upload it free-of-cost on your behalf to the CATCHTOHIT-03: Congress on Acad. Transl. Res. for Companies Helping to Height. Innov. & Tech., Bilbao-Cambridge, MA, USA, 2022. https://mol2net-08.sciforum.net/catchtohit-03

Last but not least, please become a verified REVIEWWWER of our conference by making questions to other papers in different Mol2Net congresses. Commenting Steps: Login, Go to Papers List, Select Paper, Write Comment, Click Post Comment. Papers list: https://mol2net-08.sciforum.net/presentations/view,
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Happy new year 2023.

Thanks and kind regards,
CHEMBIOMOL Committee Assistant, Maider Baltasar Marchueta.