WANT A PROFILE LIKE THIS?
Create my FREE Plan Or learn about other options
Paul Long
PeerJ Author
235 Points

Contributions by role

Author 235

Contributions by subject area

Environmental Sciences
Marine Biology
Molecular Biology
Parasitology
Zoology
Bioinformatics
Computational Biology
Data Mining and Machine Learning

Paul F Long

PeerJ Author

Summary

Paul Long is a microbiologist by training and his research uses a combination of bioinformatics, laboratory and field studies to discover new medicines from nature, particularly from the marine environment. Current projects are in the areas of dermatology (sunscreens & antioxidants), infection (paediatrics & reproductive health), oncology (haematopoietic and lymphoid malignancies) and CNS (analgesia & addiction management). As well as working in academia both in the UK, Europe, Latin America and USA, Prof. Long has worked for the NHS, in global pharma and start-up biotechnology industries. Professor Long has been a Vising Scientist at the Australian Institute of Marine Science, and is currently an International Visiting Research Professor at the University of São Paulo Brazil. Recently, Professor Long has co-founded a university spin-out company - W2T.Life Ltd, commercialising patented technology that manipulates the human microbiome to manage diseases.

Evolutionary Studies Marine Biology Microbiology Toxicology Zoology

Past or current institution affiliations

Universidade de São Paulo
King's College London, University of London

PeerJ Contributions

  • Articles 2
April 26, 2021
Recruitment of toxin-like proteins with ancestral venom function supports endoparasitic lifestyles of Myxozoa
Ashlie Hartigan, Adrian Jaimes-Becerra, Beth Okamura, Liam B. Doonan, Malcolm Ward, Antonio C. Marques, Paul F. Long
https://doi.org/10.7717/peerj.11208 PubMed 33981497
October 10, 2016
Machine learning can differentiate venom toxins from other proteins having non-toxic physiological functions
Ranko Gacesa, David J. Barlow, Paul F. Long
https://doi.org/10.7717/peerj-cs.90