This week in drug discovery (14-18 August)  

News round-up for 14-18 August by DDW Digital Content Editor Diana Spencer.

My chosen news stories this week all discuss pre-clinical research studies that could have a huge impact on our therapeutic approach to several hard-to-treat diseases, helping to overcome drug-resistance and make treatments more targeted in the future.

Next-generation antivirals could target virus membranes

Researchers have shown that a group of novel molecules inspired by our own immune system inactivates viruses like Zika and chikungunya, and could help overcome antiviral resistance.

AI Parkinson’s discovery paves way for personalised treatments

A new study has demonstrated that machine learning can accurately predict subtypes of Parkinson’s disease using images of patient-derived stem cells, paving the way for personalised medicine and targeted drug discovery.

Genetic biomarkers could personalise therapy for TNBC

A new study has shed light on the genetic messages encoded by genes within ‘triple negative’ breast cancers (TNBC), and shows they could predict response to chemotherapy.

Novel antibody displays potent anti-inflammatory activity

Researchers have shown that a novel antibody has greater activity and potentially fewer side effects than existing biological therapies for conditions such as rheumatoid arthritis (RA), psoriasis, and inflammatory bowel disease (IBD).

Preclinical data supports new approach to Alzheimer’s disease

Preclinical data has demonstrated that the oral small molecule OLX-07010 inhibits tau aggregation in a model for inherited tauopathies such as progressive supranuclear palsy (PSP) and frontotemporal dementia (FTD).

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