e-therapeutics plc Interim Financial Results for the six months ended 31 July 2018

e-therapeutics plc announces its interim results for the six months ended 31 July 2018.

Oxford, UK, 4 October 2018 -- e-Therapeutics plc (AIM: ETX, “e-therapeutics” or the “Company”), the network-driven drug discovery (NDD) company, announces its interim results for the six months ended 31 July 2018.

Operational highlights

Proprietary Network-Driven Drug Discovery (NDD) platform advanced and strengthened

  • Continued enhancement of the NDD platform with patient segmentation and informatics-based mechanism of action (MoA) modules
  • Intellegens and Biorelate partnerships now incorporated into platform, strengthening our artificial intelligence (AI) capabilities
    • Biorelate’s AI-based natural language processing techniques enhance compound bioactivity data and fibrosis disease modelling knowledge
    • Intelligens’ AI-based neural network approach adds new data capabilities to drive existing and new drug discovery projects
  • C4X Discovery collaboration allows us to expand how we use genomic information to discover new drugs and drive new strategies to treat disease

Business development activities progressing

  • Currently in detailed discussions with a number of potential biopharma partners for NDD-based programmes and projects
  • Shortlisted as preferred partner by a number of biopharma companies as part of their AI/machine learning/in-silico technology selection exercises
  • In line with our strategy, we continue to evaluate broader potential corporate development opportunities

Progress with Immuno-oncology (IO) programmes and creation of new projects in commercially valuable areas

  • Progression of lead series, confirmation of novel MoA and filing of first patent application from our tryptophan catabolism IO programme
  • Further development of two chemical series in our checkpoint signalling modulation IO programme that act by distinct biological mechanisms
  • Progression of new generation of NDD-derived projects in fibrosis, IO and neurodegeneration

Financial highlights

  • Cash and deposits of £7.6m (31 January 2018: £9.6m)
  • Narrowed operating loss of £2.8m (H1 to 31 July 2017: loss of £3.7m)
  • R&D tax credit of £1.4m received

Post-period highlights

  • Post-period, filed a new NDD platform patent, covering breakthroughs in our computational approach

Iain Ross, Non-Executive Chairman of e-therapeutics, said:

“During the period, e-therapeutics continued to execute diligently against the strategic and tactical plan outlined last year. Our novel, proprietary network-driven drug discovery ( NDD) platform leverages cutting-edge analytical, network biology, machine learning and artificial intelligence technologies. We believe it has significant potential to help unlock biological data that can drive the drug discovery process and accelerate the development of important new medicines.”

Ray Barlow, CEO of e-therapeutics, added:

“In the last six months we continued to invest in our NDD platform, rolling out additional functional enhancements. The new partnerships and collaborations we have recently entered into further extend the capabilities of the platform and its potential in drug discovery. We have also made progress in our two existing immuno-oncology drug discovery programmes and have used the platform to generate new projects in industry-relevant and potentially high-value discovery areas.

“In line with our strategy, we remain focused on developing the business from existing capital and from non-dilutive sources of funding. To this end, we have executed a systematic and extensive international business development programme where the potential of NDD has been recognised. We have been shortlisted as a preferred partner by a number of biopharma companies and are in detailed discussions on several distinct NDD deals. We also continue to evaluate broader potential corporate development opportunities.”

For more information, please contact:

e-therapeutics plc

Ray Barlow, Chief Executive Officer

Steve Medlicott, Finance Director

Tel: +44 (0)1993 883 125

www.etherapeutics.co.uk

Numis Securities Limited

Michael Meade/Freddie Barnfield (Nominated Adviser)

James Black (Corporate Broking)

Tel: +44 (0) 207 260 1000

www.numis.com

FTI Consulting

Simon Conway/Brett Pollard

Tel: +44 (0) 203 727 1000

etherapeutics@fticonsulting.com

About e-therapeutics

We are an Oxford, UK-based company with a unique and powerful computer-based drug discovery platform and a specialised approach to network biology.

Our novel network-driven methodology allows us to discover new and better drugs in a more efficient and effective way.

We use our highly productive drug Discovery Engine to develop our own IP-protected, pre-clinical drug discovery programmes which will be of interest to partners looking to acquire or in-license novel and differentiated assets. We are currently developing two programmes in immuno-oncology and have a number of partner-ready projects in areas such as fibrosis and tumour microenvironment.

Because of our novel network-driven drug discovery (NDD) approach, we believe there is potential to enter into several different types of collaborative partnerships with biotech, pharma and other technology companies to create sustainable mutual value.

About Network-Driven Drug Discovery (NDD)

e-Therapeutics’ proprietary NDD platform comprises a suite of powerful computational tools to augment and interrogate the vast amount of biological information currently available in both public and private databases.

Our NDD platform is founded on sophisticated network science and employs techniques such as machine learning, artificial intelligence (AI) and state-of-the-art data analysis tools. Using our biological expertise, we can create and analyse network models of disease to identify likely proteins that could effectively be disrupted to treat the disease.

We believe that our network-driven approach more realistically reflects the true complexity of disease, with its multiple and often interconnected cellular pathways. By modelling and analysing disease networks and considering the pattern of connections between proteins, and not just single pathways, we more efficiently select the very best drug-like compounds for screening and for subsequent medicinal chemistry and pre-clinical testing. With our novel methodology, significant numbers of active molecules can be identified and tested quickly. Our approach is highly productive and consistently generates hits that have been progressed into potent, selective and novel drug molecules.

Our overall aim is to discover more efficacious drugs more effectively. By using more biologically realistic, cell and tissue-based assays we can choose and design compounds that are more likely to translate into better, more clinically efficacious drugs.

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