Special Issue "Computational Proteomics"
A special issue of Proteomes (ISSN 2227-7382).
Deadline for manuscript submissions: closed (31 December 2016)
Prof. Dr. Shenheng Guan
Department of Pharmaceutical Chemistry and Institute for Neurodegenerative Diseases, University of California, San Francisco, CA, USA
Website | E-Mail
Interests: machine learning and data mining in proteomics; global protein turnover; posttranslational modifications; native mass spectrometry; high throughput screening; chemical instrumentation; microfludics
The astonishing performance improvements in chemical instrumentation, especially in mass spectrometry, in the past ten years has allowed us to “see” more, “dig” deeper, and to “zoom in” for more details in proteomes. A direct consequence of the “hardware” development is the confounding challenge to handle the high data generation speed by those high-throughput instruments. The primary goal of the computational proteomics field has being to develop efficient algorithms and practical software tools to extract protein identification, quantification, posttranslational modification states, protein/protein interaction, high order structure, localization, and dynamics information from large-scale experiments. Coincidentally, the emerging “Big Data” science, driven by media sharing, social networks, and e-commerce has arrived, providing us with rich information handling tools, which we can borrow, adapt, and improve. We start to witness the impact of the “machine learning revolution” in the field of proteomics, such as automated instrument tuning, high-speed data analysis for peptide identification and quantification, and optimized information extraction from multi-sources of data. We wish for this Special Issue of Proteomes, dedicated to the area of computational proteomics, to provide readers with the current status of this exciting and interdisciplinary field.
Porf. Dr. Shenheng Guan
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 papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue 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. Proteomes is an international peer-reviewed open access quarterly 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 550 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.
- Protein identification
- Qunatitative proteomics
- Machine learning