Guest Editors:

Dr. Xinshu Grace Xiao, Department of Integrative Biology and Physiology, University of California Los Angeles, USA
Dr. Chaolin Zhang, Columbia Initiative for Systems Biology, Department of Biochemistry and Molecular Biophysics, Columbia University, USA

RNA processing and regulation are increasingly recognized as essential aspects of gene expression that generate enormous diversity at the RNA level. In recent years, advances in technologies and quantitative approaches are rapidly enabling improved understandings of RNA processing and regulation, for example, through alternative splicing, alternative polyadenylation and RNA modifications. This special issue is seeking for papers on recent research and development on RNA processing and regulation.

Subject Coverage
We invite authors to submit original research and reviews to this Special Issue. The topics will encompass all aspects of RNA processing and regulation research using quantitative approaches, for examples:
 ● Regulation, function and evolution of RNA processing
 ● Technologies and computational approaches to RNA processing and regulation
 ● RNA processing and regulation in human diseases

Quantitative Biology (QB) is an interdisciplinary journal that focuses on original research that uses quantitative approaches and technologies to analyze and integrate biological systems, construct and model engineered life systems, and gain a deeper understanding of the life sciences.
 
Notes for Prospective Authors
The submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. All papers are refereed through a peer review process. A guide for authors and other relevant information for submitting papers are available on the Guidelines for Authors.

Important Dates:
Submission Deadline: 1st November, 2017

Manuscripts Submission:
https://mc.manuscriptcentral.com/qb

Content Available Online:
http://journal.hep.com.cn/qb
https://link.springer.com/journal/40484

For Enquiries Regarding This Special Issue Please Contact the Editorial Office：
Huaying Liu
Liuhy1@hep.com.cn

Invited Editors:

Prof. Luonan Chen Center for Excellence in  Molecular Cell Science, CAS	Prof. Qi Ouyang  Peking University	Prof. Ming Li  Institute of Physics, CAS

Background and Objective:
Physical models and mathematical methods are exhibiting magic vigor to understand the complex biological phenomena. They accelerate the research of dynamics and thermodynamics of life systems at the molecular level, reveal the motion laws and quantitative principles in multi-scale life systems, explore the predictability and predictable design boundaries of artificial life systems and so on. It’s no doubt that the widespread application of these physical models and/or mathematical methods in elucidating the mechanisms of complex biological phenomena will advance a new research paradigm in the field of life sciences.
QB is planning a special issue on the theme “Understanding complex biological phenomena from mathematical and physical perspectives”. We welcome research articles, short research letters, reviews, mini-reviews, perspectives, and insights on any topics related to this theme.

About Quantitative Biology
Quantitative Biology (Editors-in-Chief: Dr. Chao Tang and Dr. Michael Q. Zhang, Executive Editor-in-Chief: Dr. Xuegong Zhang; http://journal.hep.com.cn/qb; https://onlinelibrary.wiley.com/journal/2095469) is an interdisciplinary journal that focuses on significant research that uses quantitative approaches and technologies to analyze and integrate biological systems, construct and model engineered life systems, and to gain a deeper understanding of life sciences. It aims to provide a platform for not only the analysis but also the integration and construction of biological systems.

Publication and Peer-review Process
All manuscripts are reviewed by the Editorial Board and qualified reviewers. The journal makes the decisions as rapidly as possible, and we strive to return reviewers comments to authors within 3 weeks. All accepted articles will be published online first after proofreading and formatting process. As an incentive, there is no page charges.

Indexing Body and Partners

QB has been indexed by ESCI, BIOSIS Previews, Biological Abstracts, Google Scholar, Scopus, Chemical Abstracts Service (CAS), Chinese Science Citation Database (CSCD), EBSCO Discovery Service, Institute of Scientific and Technical Information of China, Naver, OCLC WorldCat Discovery Service, ProQuest-ExLibris Primo, ProQuest-ExLibris Summon.
IF 2022=3.1, CiteScore2022=5.7

Important Dates
Submission Deadline: Feb 28, 2024

Manuscripts Submission
https://mc.manuscriptcentral.com/qb   

Content Available Online
http://journal.hep.com.cn/qb
https://onlinelibrary.wiley.com/journal/2095469

Guest Editors:

Prof. Gangqing Hu, michael.hu@hsc.wvu.edu, Department of Microbiology, Immunology & Cell Biology, West Virginia University, Morgantown, WV, USA

Prof. Li Liu, liliu@asu.edu, College of Health Solutions, Arizona State University, Phoenix, AZ, USA

Prof. Dong Xu, xudong@missouri.edu, Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, USA

Background and Objective

Greeting esteemed readers and authors of Quantitative Biology! Over the last few months, we have all witnessed the excitements, chaos, and confusion that ChatGPT and other large language model based chatbots have brought to the world. This marks a significant milestone for a new era of Human-AI collaboration in our daily lives.

We have been amazed by ChatGPT’s potential in bioinformatics data analysis (https://doi.org/10.15302/J-QB-023-0327). Furthermore, ChatGPT-assisted health sciences research has just emerged in the literature. We are therefore thrilled to call for a community effort to explore the challenges and opportunities of using chatbots in bioinformatics, biomedical sciences, and health sciences. In this themed issue, we seek studies that push the limits of chatbots, such as ChatGPT, in designing and implementing bioinformatics algorithms, analyzing large-scale data in biomedical research, and assisting healthcare professionals in processing clinic records. Please join us on this unusual Human-AI expedition, and we will have some fun along the way! 

We disclosed that ChatGPT contributed to this call for papers by proofreading it! When submitting your work, be sure to disclose how you are using a chatbot in your project as well if applicable.

Subject Coverage: We welcome submissions from authors on the topics listed below, but not limited to, for protocols, tutorials, perspectives, reviews, and original research articles:

· Chatbot-assisted algorithm development

· Chatbot-assisted analysis of omics data

· Chatbot-assisted mining of biomedical literature

· Chatbot-assisted processing of clinical records

· Prompt design for chatbot-based data analysis/mining

· Ethical and regulatory concerns on chatbots in data analysis

· Chatbot-based education in bioinformatics and health sciences

Quantitative Biology (Editors-in-Chief: Dr. Chao Tang and Dr. Michael Q. Zhang, Executive Editor-in-Chief: Dr. Xuegong Zhang;  https://journal.hep.com.cn/qb) is an interdisciplinary journal that focuses on original research that uses quantitative approaches and technologies to analyze and integrate biological systems, construct and model engineered life systems, and gain a deeper understanding of the life sciences.

Quantitative Biology is an open-access journal. We offer APC free for authors. It has been indexed/abstracted by ESCI, Scopus, Chemical Abstracts Service (CAS), Google Scholar, Chinese Science Citation Database (CSCD), OCLC and Summon by ProQuest, etc.

Important Dates:

Submission Deadline for oral presentation in the International Conference on Intelligent Biology and Medicine (ICIBM-2023): April 5^th, 2023.

Submission Deadline for this special issue: December 31^th, 2023.

 

Note: If manuscripts are submitted before April 5^th, 2023, authors may choose to be reviewed as part of the ICIBM-2023 collection of this special issue and present the studies in person at Tampa, FL, USA. Whether the studies are presented in ICIBM-2023 or not, QB journal will provide peer-review for the submissions.

 

Manuscripts Submission:

https://mc.manuscriptcentral.com/qb

For manuscripts concurrently considered for the ICIBM-2023 Conference, please use the EasyChair Conference System. 

Content Available Online:

http://journal.hep.com.cn/qb

Issue Editors

 

Prof. Chao Tang,

tangc@pku.edu.cn,

Peking University, China

 

 

 

 

Prof. Qionghai Dai

daiqionghai@tsinghua.edu.cn

Tsinghua University, China

 

 

Prof. Xuegong Zhang,

zhangxg@tsinghua.edu.cn,

Tsinghua University, China

 

 

 

 

 

 

Background and Objectives

Artificial intelligence (AI) is one of the most quickly advancing fields in today’s science and technology, characterized by the successful application of machine learning especially deep learning methods in many disciplines and scenarios. In the early era of bioinformatics, various machine learning methods played essential roles in solving key biological challenges. Recently, machine learning has been applied in diverse biological and biomedical areas such as protein structure prediction, gene identification, functional genomics, drug design, network inference, image recognition, and diagnosis and precision medicine, bring unprecedented innovation and advance in life science and translation. “AI for Life Science” is becoming a new research paradigm that calls for more and deeper convergence between life science and AI technology.

QB is planning a special issue on the theme “AI for Life Science”. We welcome research articles, short research letters, mini-reviews, perspectives, and insights on any topics related to this theme. Both theoretical and experimental work are welcome. Algorithmic or mathematical work oriented from or inspired by AI for Life Science studies are also welcome. Especially, non-conventional or even controversial work and opinions that may not be fairly treated by other journals are encouraged in QB.

 

About Quantitative Biology

Quantitative Biology (Editors-in-Chief: Dr. Chao Tang and Dr. Michael Q. Zhang, Executive Editor-in-Chief: Dr. Xuegong Zhang; http://journal.hep.com.cn/qb ) is an interdisciplinary journal that focuses on significant research that uses quantitative approaches and technologies to analyze and integrate biological systems, construct and model engineered life systems, and to gain a deeper understanding of life sciences. It aims to provide a platform for not only the analysis but also the integration and construction of biological systems.

 

Publication and Peer-review Process

All manuscripts are reviewed by the Editorial Board and qualified reviewers. The journal makes the decisions as rapidly as possible, and we strive to return reviewers comments to authors within 3 weeks. All accepted articles will be published online first after proofreading and formatting process. As an incentive, we offer free access and free article-processing.

 

Indexing Body and Partners

QB has been indexed by ESCI, BIOSIS Previews, Biological Abstracts, Google Scholar, Scopus, Chemical Abstracts Service (CAS), Chinese Science Citation Database (CSCD), EBSCO Discovery Service, Institute of Scientific and Technical Information of China, Naver, OCLC WorldCat Discovery Service, ProQuest-ExLibris Primo, ProQuest-ExLibris Summon.

According to the new policy of Clarivate, QB will receive its first impact factor in the year of 2023. The newly estimated IF is 4.06 and Citescore is 4.6.

 

Important Dates

Submission Deadline: Feb 28, 2023

 

Manuscripts Submission

https://mc.manuscriptcentral.com/qb   

 

Content Available Online

http://journal.hep.com.cn/qb

Guest Editors:

		Prof. Dariusz Plewczyński  Head of Laboratory of Bioinformatics and Computational Genomics at the Faculty of Mathematics and Information Science, Warsaw University of Technology, and the Laboratory of Functional and Structural Genomics at the Centre of New Technologies, University of Warsaw, Poland. Email: d.plewczynski@cent.uw.edu.pl
		Prof. Hebing Chen  Beijing Institute of Radiation Medicine, China Email: chb-1012@163.com
		Prof. Yang Chen Peking Union Medical College, China Email: yc@ibms.pumc.edu.cn
		Prof. Juntao Gao Tsinghua University, China Email: jtgao@mail.tsinghua.edu.cn

Background and Objective

The three-dimensional chromatin structure is intricate, dynamic, and essential principles for gene regulation. Chromosomal conformation capture approaches and high-edge microscopic imaging techniques following with bioinformatics data processing, analysis methods, databases and visualization, especially machine learning prediction methods have unveiled the mechanism of interconnection between genome organization and nuclear architecture. The structure transitions of 3D chromatin can vary in different stages of cell development and differentiation, which related to dysregulation in disease. This special issue aims to establish a platform for quantitative researchers who are interested in unsolved questions in the 3D genome field through developing new biotechnology or bioinformatics methods, especially machine learning methods, which help further understand the roles of 3D genome organization principles in gene regulation, cell fate and cell function in physiology and disease.

Subject Coverage: We invite authors to submit original research and reviews for this Special Issue. The topics will encompass research fields in 3D genome, including but not limited to:
1. 3D genome biotechnology (sequencing and imaging）
2. 3D genome bioinformatics (data processing, data analysis, databases, and visualization)
3. 3D genome organization and function
4. Development & disease in 3D genome
5. Machine learning in 3D genome

About Quantitative Biology
Quantitative Biology (Editors-in-Chief: Dr. Chao Tang and Dr. Michael Q. Zhang, Executive Editor-in-Chief: Dr. Xuegong Zhang; http://journal.hep.com.cn/qb/EN/2095-4689/home.shtml ) is an interdisciplinary journal that focuses on significant research that uses quantitative approaches and technologies to analyze and integrate biological systems, construct and model engineered life systems, and to gain a deeper understanding of life sciences. It aims to provide a platform for not only the analysis but also the integration and construction of biological systems.

Publication and Peer-review Process
All manuscripts are reviewed by the Editorial Board and qualified reviewers. The journal makes the decisions as rapidly as possible, and we strive to return reviewers comments to authors within 3 weeks. All accepted articles will be published online first after proofreading and formatting process. As an incentive, we offer open access and free article-processing.

Indexing Body and Partners 
QB has been indexed by ESCI, BIOSIS Previews, Biological Abstracts, Google Scholar, Scopus, Chemical Abstracts Service (CAS), Chinese Science Citation Database (CSCD), EBSCO Discovery Service, Institute of Scientific and Technical Information of China, Naver, OCLC WorldCat Discovery Service, ProQuest-ExLibris Primo, ProQuest-ExLibris Summon.

Important Dates:
Submission Deadline: July 30, 2022

Manuscripts Submission:
https://mc.manuscriptcentral.com/qb   

Content Available Online
http://journal.hep.com.cn/qb

We are excited to announce that Invited Editors for Quantitative Biology have been set up on May, 2021. They will take responsibilities for some work of the journal including Identifying new topics for special issues, promoting the journal to their colleagues and peers, and speeding up the review process, etc. All members are listed below.
 

Hebing Chen, Ph.D.
Associate Professor
Beijing Institute of Radiation Medicine, China

Ziwei Dai, Ph.D.
Assistant Professor
Southern University of Science and Technology, China

Xiongfei Fu, Ph.D.
Professor
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China

Lin Hou, Ph.D.
Associate Professor
Tsinghua University, China

Zhixiang Lin, Ph.D.
Assistant Professor
The Chinese University of Hong Kong, China

Hua LING, Ph.D.
Assistant Professor
National University of Singapore, Singapore

Qiongshi Lu, Ph.D.
Assistant Professor
University of Wisconsin-Madison, USA

Guan-Zheng Luo, Ph.D.
Professor
Sun Yat-sen University, China

Qiang Tu, Ph.D.
Professor
Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, China

Xin Wang, Ph.D.
Associate Professor
Sun Yat-sen University, China

Haifeng Ye, Ph.D.
Professor
East China Normal University, China

Ye Yuan, Ph.D.
Associate Professor
Shanghai Jiao Tong University, China

Le Zhang, Ph.D.
Professor
Sichuan University, China

Shihua Zhang, Ph.D.
Professor
Academy of Mathematics and Systems Science, Chinese Academy of Sciences, China

Guest Editors:
Prof. Chenli Liu, cl.liu@siat.ac.cn. Shenzhen Institutes of Advanced Technology (SIAT), CAS, China

Background and Objective
The bottom-up engineering approach of synthetic biology enables the construction of synthetic biological systems to test the quantitative predictions of life phenomena by quantitative biology, leading to new understanding; In turn, development of the basic theory of quantitative biology can help the rational design of synthetic living organisms, addressing major challenges facing human society. The cross-fertilization of quantitative biology and synthetic biology has led to an exciting interdisciplinary area “quantitative synthetic biology”, and holds the promise to transform biological sciences from qualitative/descriptive studies to quantitative/predictive research. 
Subject Coverage: We invite authors to submit original research and reviews to this Special Issue. The topics will encompass research fields in quantitative and synthetic biology, including but not limited to:
● Quantitative theory of biological processes
● Design principles of synthetic biological systems
● Emerging technologies in quantitative and synthetic biology
● Applications of quantitative and synthetic biology

About Quantitative Biology
Quantitative Biology (Editors-in-Chief: Dr. Chao Tang and Dr. Michael Q. Zhang, Executive Editor-in-Chief: Dr. Xuegong Zhang; http://journal.hep.com.cn/qb/EN/2095-4689/home.shtml ) is an interdisciplinary journal that focuses on significant research that uses quantitative approaches and technologies to analyze and integrate biological systems, to construct and model engineered life systems, and to gain a deeper understanding of life sciences. It aims to provide a platform for not only the analysis but also the integration and construction of biological systems.

Publication and Peer-review Process
All manuscripts are reviewed by the Editorial Board and qualified reviewers. The journal makes the decisions as rapidly as possible, and we strive to return reviewers comments to authors within 3 weeks. All accepted articles will be published online first after proofreading and formatting process. As an incentive, we offer open access and free article-processing.

Indexing Body and Partners 
QB has been indexed by ESCI, BIOSIS Previews, Biological Abstracts, Google Scholar, Scopus, Chemical Abstracts Service (CAS), Chinese Science Citation Database (CSCD), EBSCO Discovery Service, Institute of Scientific and Technical Information of China, Naver, OCLC WorldCat Discovery Service, ProQuest-ExLibris Primo, ProQuest-ExLibris Summon.

Important Dates:
Submission Deadline: December 30, 2021

Manuscripts Submission:
https://mc.manuscriptcentral.com/qb

Content Available Online:
http://journal.hep.com.cn/qb

For enquiries regarding this special issue please contact QB Editorial Office:
Dr. Miaomiao Tian: mmtian@pku.edu.cn

Guest Editors:
Prof. Xiu-Jie Wang, xjwang@genetics.ac.cn, Institute of Genetics and Development Biology, CAS, China
Prof. Yong-Jin Liu, liuyongjin@tsinghua.edu.cn, Tsinghua University, China

Background and Objective
Imaging-based technologies, such as various types of microscopes, nuclear magnetic resonance spectroscopy (NMR), functional magnetic resonance imaging (fMRI), have demonstrated increasing importance for biological and biomedical researches. In the meanwhile, how to accurately and comprehensively extract information from image data remains a great challenge for scientists. This special issue focuses on algorithms, methods, tools and discoveries related to biological and biomedical image data analysis, with a hope to promote biological and biomedical image related researches. 

Subject Coverage: Research papers or reviews describe algorithms, methods, tools and discoveries related to biological and biomedical image data analysis are all welcome.

About Quantitative Biology
Quantitative Biology (Editors-in-Chief: Dr. Chao Tang and Dr. Michael Q. Zhang, Executive Editor-in-Chief: Dr. Xuegong Zhang; http://journal.hep.com.cn/qb/EN/2095-4689/home.shtml) is an interdisciplinary journal that focuses on significant research that uses quantitative approaches and technologies to analyze and integrate biological systems, construct and model engineered life systems, and to gain a deeper understanding of life sciences. It aims to provide a platform for not only the analysis but also the integration and construction of biological systems. 

Publication and Peer-review Process
All manuscripts are reviewed by the Editorial Board and qualified reviewers. The journal makes the decisions as rapidly as possible, and we strive to return reviewers comments to authors within 3 weeks. All accepted articles will be published online first after proofreading and formatting process. As an incentive, we offer free access and free article-processing.

Indexing Body and Partners 
QB has been indexed by ESCI, BIOSIS Previews, Biological Abstracts, Google Scholar, Scopus, Chemical Abstracts Service (CAS), Chinese Science Citation Database (CSCD), EBSCO Discovery Service, Institute of Scientific and Technical Information of China, Naver, OCLC WorldCat Discovery Service, ProQuest-ExLibris Primo, ProQuest-ExLibris Summon.

Important Dates
Submission Deadline: January 31, 2021

Manuscripts Submission
https://mc.manuscriptcentral.com/qb

Content Available Online
http://journal.hep.com.cn/qb

For enquiries regarding this special issue please contact QB Editorial Office:
Miaomiao Tian: mmtian@pku.edu.cn

Section Editor:
Prof. Cheng Li, Peking University, China. 

Quantitative Biology (QB) is a cross-disciplinary forum for research progresses on modeling, understanding and engineering life. It has published many cutting-edge reviews, perspectives and research articles on computational biology, systems biology and synthetic biology. As huge amounts of omics data are being accumulated in these fields, more and more biological studies are becoming data-driven. Mathematical and statistical models, bioinformatics methods, algorithms and analysis pipelines are becoming crucial in all these fields. However, most publications focus on scientific results. It is often challenging for readers to fully understand and replicate published methods, algorithms or pipelines, due to insufficient description on them in the original papers and their supplementary materials. 
To provide a solution to this issue, we are launching a new article type: Protocols and Tutorials. Through systematic and comprehensive description of data analysis models, algorithms, pipelines and/or software (MAPS) in important published scientific studies, these new types of articles will not only help authors to better promote their analysis methods, but also help bioinformatic and biological readers to follow these data analysis protocols and tutorials to apply them effectively in their own work. 
We invite authors to submit Protocol and Tutorial manuscripts for the MAPS that have been developed or used in published studies. Submissions will be processed in a special channel to ensure timely publication following major methods or biological discovery papers. We also welcome authors to contact us for this type of publications when their methods or discovery papers are in the final round of revision in major journals, so that the MAPS protocol or tutorial papers may be published at the same time as the main paper. 

Manuscript format:
The manuscript should be arranged in the following order:
1.Title section (This section must be including Title, Running Title, Authors, Author Affiliations, and Correspondence)
2.Abstract
3.Introduction
4.Materials (Please include a list of the essential materials such as any special equipment or computers required, so that users can identify the product, e.g. company website, product code.)
5.Protocol/Tutorial (A numbered list of data analysis instructions is preferred in this section. A published data set and analysis outputs such as figures and screenshots can be used to illustrate the protocol. If the protocol should be broken into several separate stages, please highlight subheadings and resume the numbered list.)
6. Discussion (summary, limitations and possible future developments of the MAPS)
7. Acknowledgements and Funding
8. Compliance with Ethics Guidelines. 
9. References. 
10. Figures and legends.
11. Tables and legends. 
12. Supplemental materials (combined into a single PDF file)

Manuscripts should be submitted online at https://mc.manuscriptcentral.com/qb . Please indicate that the submission is for the “Protocol and Tutorial” section. 
For further information, please contact us:
Cheng Li (cheng_li@pku.edu.cn)
Editorial office (tianmm@hep.com.cn)

Quantitative Biology (QB)is an interdisciplinary journal with interests in original research that uses quantitative approaches and technologies to analyze and integrate biological systems, construct and model engineered life systems, and gain a deeper understanding of the life sciences. The journal is jointly published worldwide both in print and online on a quarterly basis by the Higher Education Press and Springer. The journal is currently sponsored by Higher Education Press, Center for Beijing Information Science and Technology and Center for Synthetic and Systems Biology in Tsinghua University, and Center for Quantitative Biology of Peking University. 

QB was launched in 2013, with Profs. Michael Q. Zhang and Chao Tang as Editors-in-Chief. QBpublishes significant advances and results in the following fields, but not limited to:
 ● Systems and synthetic biology
 ● Bioinformatics
 ● Computational biology

The journal has been indexed by Scopus, Chemical Abstracts Service (CAS), Google Scholar, Chinese Science Citation Database (CSCD), OCLC and Summon by ProQuest.

Position available: full-time Editor 

Location: Beijing, China

Responsibilities: 
1. To solicit high quality articles for the journal, organize special issues on hot topics with the Editorial Board.
2. To keep abreast of latest developments in Quantitative Biology research, focus on emerging topics, be responsible for the academic quality of the journal articles.
3. To design academic promotional materials for improving the journal’s international influence. 

Requirements: 
1. Doctorate in a relevant subject area is required, such as Bioinformatics, Systems Biology, Synthetic Biology and Computational Biology; Experience of publishing at least one paper in the International journal.
2. Presentable and fluent in both written and spoken English and Chinese.  
3. Strong teamwork spirit,Good communication and coordination skills, skillful in academic relationships.

A competitive salary and other benefits will be offered based on candidate’s experience. 

Application materials  
1. A curriculum vitae and working plan in both English and Chinese stating your current and expected salaries, contact details.  
2. The name, title and contact details of three referees

Potential candidates who meet our requirements, please send the application materials to gongsy@pku.edu.cn before May 20^th.

Guest Editors:
Prof. Luhua Lai, Center for Quantitative Biology, Peking University, China
Prof. Shao Li, MOE Key Laboratory of Bioinformatics and Bioinformatics Division, TNLIST, Department of Automation, Tsinghua University

Systems biology approaches provide new perspectives in pharmacological sciences, especially Traditional Chinese Medicine (TCM). In recent years, exciting progress has been witnessed in applying systems biology to the field of TCM study. This Special Column aims to highlight the advances and perspectives of systems biology in TCM.
 
Subject Coverage:
We invite authors to submit original research and reviews to this Special Column. The topics will encompass research fields in systems biology in TCM, including but not limited to:
● Novel approaches to identify active ingredients from TCM.
● The mode of action of TCM.
● TCM network pharmacology.
● TCM-target-disease network.
● The designing principles of TCM prescription.
● Systems biology understanding of TCM theory.

Quantitative Biology (Editors-in-Chief: Dr. Chao Tang and Dr. Michael Q. Zhang, https://link.springer.com/journal/40484 ) is an interdisciplinary journal that focuses on original research that uses quantitative approaches and technologies to analyze and integrate biological systems, construct and model engineered life systems, and gain a deeper understanding of the life sciences.

The journal has been indexed by Scopus, Chemical Abstracts Service (CAS), Google Scholar, Chinese Science Citation Database (CSCD), OCLC and Summon by ProQuest. There is no restriction for the length of your manuscript. 

Important Dates:
Submission Deadline: June 30, 2018

Manuscripts Submission:
https://mc.manuscriptcentral.com/qb

Content Available Online:
https://link.springer.com/journal/40484
http://journal.hep.com.cn/qb

For Enquiries Regarding This Special Column Please Contact the Editorial Office：
Huaying Liu
Liuhy1@hep.com.cn