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Topical Collection "State-of-the-Art Biophysics, Biochemistry and Molecular Biology in China"
A topical collection in Biomolecules (ISSN 2218-273X). This collection belongs to the section "Molecular Biophysics".Viewed by 22289
Interests: bioinformatics; systems biology; systems drug toxicology; pharmacogenomics; drug design; CADD; -omics; biomedical big data; machine learning
Interests: molecular dynamics; protein folding; protein-protein interaction; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: molecular dynamics simulation; molecular docking; ion channels
Topical Collection Information
This Topical Collection include two main topics:
1. Modern biophysics, biochemistry and molecular biology emerged since the discovery of the double-helical structure model of DNA using X-ray crystallography in 1950s. Decoding the mystery of life from a microscopic point of view used to be very challenging but has recently come of age. Over the decades, progress in technologies such as single-particle cryo-electron microscopy, single-molecule fluorescence experiments, and molecular modellings, has enabled the studies of biomolecules covering from small organic molecules/drugs to proteins, DNA, RNA and cell membranes at biomolecular or even atomic levels. Particularly, introduction of novel machine learning algorithms to the field of structural and computational biology helps scientists to better characterize the interactions between biomolecules while revealing the mechanisms behind dynamic biological processes. Combination of lab experiments and in silico approaches is reshaping many aspects of nowadays biophysics, biochemistry and molecular biology.
In this Topical Collection, we encourage scientists in China from diverse backgrounds to contribute original research or review articles including but not limited to studies of protein/DNA/RNA/lipid interactions, bio-nano interfaces, functional biomolecule design, and molecular machines, etc.
2. As an integral part of nature, the health of human beings is inextricably linked with the inner and outer environment they live. Therefore, disease can be explained as an unbalanced state of the body caused by environmental change. To restore the harmonious human-environment relation, vaccines and drugs are thus designed to prevent or rectify the unbalance. In recent years, extensive efforts have been made to monitor human-environment interactions such as microbiota-host interactions, drug-microbiota interactions, and so on. Along with these efforts, a large volume of multimodal data is produced. Proper interpretation of these big data, in particular using state-of-art machine learning or AI technologies, will be the key to better understand the human-environment interactions and further translate the knowledge to improve human health.
We also welcome contributions that (1) Interpretation of multiple omics data to unveil complex interaction patterns between microbiota and environment, microbiota and host, human behavior and environment, and so on. (2) Integration of multimodal data to reveal key molecules, biomarkers, or therapeutic targets in understanding, diagnosing, and rectifying the unbalanced state of complex diseases. (3) Development of in silico techniques to assist in designing broad-spectrum or highly specific microbial vaccines, microbicides, and so on.
We aim to present innovative and exciting research in biophysics, biochemistry and molecular biology that are currently happening in the region of China. We look forward to receiving your contributions.
Prof. Dr. Zhiliang Ji
Prof. Dr. Ruhong Zhou
Dr. Xuanyu Meng
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the collection website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Biomolecules is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2300 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Molecular modelling
- molecular dynamics simulation
- protein-protein interaction
- protein folding
- molecular docking
- drug design
- bio-nanomaterial interface
- molecular machine
- functional biomacromolecule design and optimization
- functional regulation of RNA/DNA
- multimodal data
- machine learning
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Chemosensory Receptors and Receptor-Based Biosensors for Detecting Odorants and Tastants
Authors: Liquan Huang
Affiliation: College of life science Zhejiang University
Title: To be determined
Authors: Luhua Lai
Affiliation: BNLMS, State Key Laboratory for Structural Chemistry of Unstable and Stable Species, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
Title: To be confirmed
Authors: Zuping He
Affiliation: Hunan Normal University, Changsha, China
Title: To be confirmed
Authors: Xinglai Ji
Affiliation: Nanjing University of Post and TeleCommunications Nanjing China
Title: To be confirmed
Authors: Francesco Zonta
Affiliation: Shanghai Institute of Advanced Immunochemical Studies, ShanghaiTech University, Shanghai, China