BBA Research Collections
The BBA team of Scientific Editors regularly curate research collections of published articles from the BBA series of topical journals. The collections are freely available to read for 3 months from release and focus on a scientific topic or theme of special interest.
BBA Collection Otto Warburg 2023: Proteomics in Cancer Research
This collection(opens in new tab/window) has been compiled from BBA Journals to commemorate the 2023 Otto Warburg Medal Award(opens in new tab/window) for which BBA is proud to sponsor.
A crucial scientific technique for examining the biochemical alterations in cancer cells is proteomics. Key details, including protein targets and signalling pathways connected to the growth and spread of cancer cells have been successfully unravelled using proteomics techniques.
This collection of original research and review articles published in the BBA journals highlights new developments in the field of cancer proteomics.
The Blood-Brain Barrier: limits and strategies
This BBA Collection(opens in new tab/window) gives a glimpse of recent findings on new and already known molecules with potential therapeutic properties, the involvement of the Blood-Brain Barrier in neurodegenerative diseases, and mechanisms of transport through the Blood-Brain Barrier.
Inflammatory Signaling: a mechanistic snapshot
This BBA Collection(opens in new tab/window) comprises selected papers from across the BBA Journals and the sister journal BB-Reports(opens in new tab/window), with focus on some aspects of inflammatory signaling and mediators, inflammasomes and fibrosis.
Single Cell Analysis: Applications and Considerations
This collection of recently published articles in the BBA journals showcases some of the many applications of single-cell analysis. Read on to discover new research findings, cutting-edge technologies, as well as standout reviews discussing the potential to be found in exploring biological systems at the single-cell level.
Artificial Intelligence for Biochemistry and Molecular Biology: AI is learning to help
We have witnessed a steady increase in the applications of AI to biochemical and biophysical data to learn and predict the properties, structure and dynamics of proteins and biomolecules, to investigate biochemical pathways and gene regulation, and to improve drug design and discovery.
This BBA Collection(opens in new tab/window) presents a selection of recently published articles from the BBA journals, to highlight examples of the many applications of AI to biochemistry and molecular biology.