SURE

1. McGarry, Kenneth, Nelson, David and Ashton, Mark (2020) A method to explore the connectivity patterns of proteins and drugs for identifying disease communities. SN Computer Science, 137. ISSN 2661-8907
2. McGarry, Kenneth, Ashton, Mark, Gong, Yu and Hosny, Amer (2020) The development of a predictive model to identify potential HIV-1 attachment inhibitors. Computers in Biology and Medicine. ISSN 0010-4825
3. Chenevas-Paule, Clemence, Wolff, Hans, Ashton, Mark, Schubert, Martin and Dodou, Kalliopi (2017) Development of a Predictive Model for the Stabilizer Concentration Estimation in Microreservoir Transdermal Drug Delivery Systems Using Lipophilic Pressure-Sensitive Adhesives as Matrix/Carrier. Journal of Pharmaceutical Sciences, 106 (5). pp. 1371-1383. ISSN 00223549
4. Amer, Amer H., Anderson, Rosaleen, Carlile, Mark, Dawson, Peter and Ashton, Mark (2017) A 3D-QSAR Pharmacophore based virtual screening and docking approach to identify novel HIV-1 entry inhibitors. In: New Approaches in Medicinal Chemistry II, 01 Feb 2017, Eli Lilly, Windlesham, UK. (Unpublished)
5. Chenevas-Paule, Clemence, Wolff, Hans, Ashton, Mark, Schubert, Martin and Dodou, Kalliopi (2017) Development of a predictive model for the long term stability assessment of drug-in-adhesive transdermal films using polar pressure sensitive adhesives as carrier/matrix. Journal of Pharmaceutical Sciences, 106 (5). pp. 1293-1301. ISSN 0022-3549

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