The IBM Journal has teamed up with IEEE Publications, Editorial Services, to provide a single production workflow for Guest Editors and authors through ScholarOne Manuscripts. The Journal Editor will consider for publication all submissions that relate to any of the currently open Calls for Papers. All submissions will go through the following two-step process:
- Abstract: First, you will submit a preliminary abstract using ScholarOne Manuscripts (≤200 words). The Editor will decide whether to invite you to submit a full paper. Abstracts should include tentative article title, author names/affiliations, and a single descriptive paragraph.
- Full paper: If your abstract is accepted, you will receive an invitation to submit a full paper (also via ScholarOne Manuscripts), which will be peer reviewed. The Guest Editor(s) will make a final decision to publish based on the recommendations of the peer reviewers.
Note: Invitations to submit a full paper will include detailed instructions on next steps and journal requirements. The IBM manuscript preparation template provides an outline of key information for preparing manuscripts and must be used for all full paper submissions.
Call for papers
"Computational technologies for drug discovery"
Publication date: November 2018
Guest editor: Wendy Cornell, Principal Research Staff Member and Manager
Drug Discovery Technologies and Drug Discovery Strategy Lead
Computer-aided approaches to drug discovery have been in wide use for decades, with ligand similarity methods, QSAR (quantitative structure–activity relationship) approaches, and protein-ligand docking all routinely applied to support lead finding and lead optimization; however, advances in computing power, algorithm development, and information science have expanded the scope and power of computer-aided approaches. For example, molecular dynamics, long used as an exploratory method due to its complexity and computational demands, is now increasingly applied to qualitatively and quantitatively evaluate potential small molecule synthetic targets on a time scale in step with the medicinal chemistry project teams. Deep learning technologies are being leveraged to take advantage of the vast amounts of protein and small molecule data that are generated through basic research as well as successful and unsuccessful drug discovery campaigns. Finally, although much information is captured in structured public databases such as the PDB, ChEMBL, PubChem, or corresponding internal proprietary databases, a significant amount exists only in unstructured format in free text or tables and in these instances text mining is essential.
This special issue of the IBM Journal of Research and Development will emphasize new methods, workflows, and applications, particularly in the fields of deep learning, molecular dynamics, and text mining, but highlighting other techniques as well. Methods, workflows, and applications targeting small molecule, peptide, and biologic drug discovery are all in-scope. We solicit Abstracts (manuscript proposals) in the following and related areas.
- Applications of deep learning to drug discovery
- Applications of molecular dynamics to drug discovery
- Integration of mechanistic modeling and deep learning for drug discovery
- Quantum computing for drug discovery
- Protein or ligand structure searching and analysis for drug discovery
- De novo drug design
- Patent mining for drug discovery
- Literature mining for drug discovery
- Integrated workflows for drug discovery
- Design thinking for drug discovery solution development
- January 9, 2018 Abstracts due
- January 30, 2018 Invitations for full paper sent to selected authors
- April 2018: Full papers due
- June 2018: Final acceptance decision
Call for papers
"Advances in computational creativity technology"
Publication date: January 2019
Guest editors: Richard Goodwin, Kush Varshney, and Jinjun Xiong
Computational creativity is the art, science, philosophy, and engineering of building computational systems that demonstrate behaviors that would be deemed creative by unbiased human observers. There has been much recent progress in this field of research, including formalizing what it means for software to be creative and developments in many exciting and valuable applications of creative software in the sciences, the arts, cooking, literature, fashion, and elsewhere.
This special issue of the IBM Journal of Research and Development will emphasize both theoretical contributions to computational creativity research and groundbreaking computational creativity systems in various domains. We solicit Abstracts (manuscript proposals) on research that pushes the field forward in both foundational and applied directions. Potential focus areas include:
- Computational paradigms for understanding creativity as well as metrics, frameworks, formalisms and methodologies for the evaluation of creativity in computational systems.
- Development and assessment of computational systems that support and assist people in creative tasks.
- Applications that address creativity in specific domains such as music, language, narrative, poetry, cooking, fashion, games, visual arts, graphic design, product design, architecture, entertainment, education, mathematical invention, scientific discovery, and programming.
- February 8, 2018 Abstracts due
- February 22, 2018 Invitations for full paper sent to selected authors
- May 2018: Full papers due
- July 2018: Final acceptance decision