Seminar: Discovery of Viagra/Revatio (aka sildenafil aka UK-92480)

A reminder of an on campus, open, seminar from Andy Bell (now at Imperial College), detailing the discovery and development of UK-92,480 (also known as sildenafil and even better known as V1agra and R3vat10). Andy was one of the medicinal chemists and inventors on the PDE-5 inhibitor programme at Pfizer, and the story covers many aspects of drug discovery including, of course, the discovery of the side effect, and also one where the pharmacology led to many new molecular insights into NO signalling and PDE biology.

There are many myths about the discovery of V1agra, so this is a rare opportunity to hear the exciting story first-hand.

Here's Andy's abstract....

"Viagra™ (sildenafil) is a unique example of a chemical tool being used to
discover the linkage between a biological mechanism and a disease through
clinical trials. The presentation will describe the discovery of sildenafil
and its use in defining the role of cGMP phosphodiesterases (particularly
PDE5) in human diseases such as Male Erectile Dysfunction (MED) and Pulmonary
Arterial Hypertension (PAH). These clinical studies, combined with the
discovery of additional PDE isoforms, were used to define a desirable profile
for subsequent 2nd generation PDE5 inhibitors. The impact of structural
biology and high throughput screening on the discovery of further clinical
candidates will also be discussed."

The seminar is on Tuesday July 17th 2012 at 2pm in room M203 (room change alert for those who put it in their diary earlier) - you will need to mail me in order to get registered with campus security if you don't work on campus. If you do, you can just turn up.

Andy will also be giving a more detailed technical seminar on screening file analysis, diversity, chemical space, etc - again, let me know if you are interested in attending this too......

Comments

New SureChEMBL announcement

(Generated with DALL-E 3 ∙ 30 October 2023 at 1:48 pm) We have some very exciting news to report: the new SureChEMBL is now available! Hooray! What is SureChEMBL, you may ask. Good question! In our portfolio of chemical biology services, alongside our established database of bioactivity data for drug-like molecules ChEMBL , our dictionary of annotated small molecule entities ChEBI , and our compound cross-referencing system UniChem , we also deliver a database of annotated patents! Almost 10 years ago , EMBL-EBI acquired the SureChem system of chemically annotated patents and made this freely accessible in the public domain as SureChEMBL. Since then, our team has continued to maintain and deliver SureChEMBL. However, this has become increasingly challenging due to the complexities of the underlying codebase. We were awarded a Wellcome Trust grant in 2021 to completely overhaul SureChEMBL, with a new UI, backend infrastructure, and new f

A python client for accessing ChEMBL web services

Motivation The CheMBL Web Services provide simple reliable programmatic access to the data stored in ChEMBL database. RESTful API approaches are quite easy to master in most languages but still require writing a few lines of code. Additionally, it can be a challenging task to write a nontrivial application using REST without any examples. These factors were the motivation for us to write a small client library for accessing web services from Python. Why Python? We choose this language because Python has become extremely popular (and still growing in use) in scientific applications; there are several Open Source chemical toolkits available in this language, and so the wealth of ChEMBL resources and functionality of those toolkits can be easily combined. Moreover, Python is a very web-friendly language and we wanted to show how easy complex resource acquisition can be expressed in Python. Reinventing the wheel? There are already some libraries providing access to ChEMBL d

New Drug Approvals - Pt. XVII - Telavancin (Vibativ)

The latest new drug approval, on 11th September 2009 was Telavancin - which was approved for the treatment of adults with complicated skin and skin structure infections (cSSSI) caused by susceptible Gram-positive bacteria , including Staphylococcus aureus , both methicillin-resistant (MRSA) and methicillin-susceptible (MSSA) strains. Telavancin is also active against Streptococcus pyogenes , Streptococcus agalactiae , Streptococcus anginosus group (includes S. anginosus, S. intermedius and S. constellatus ) and Enterococcus faecalis (vancomycin susceptible isolates only). Telavancin is a semisynthetic derivative of Vancomycin. Vancomycin itself is a natural product drug, isolated originally from soil samples in Borneo, and is produced by controlled fermentation of Amycolatopsis orientalis - a member of the Actinobacteria . Telavancin has a dual mechanism of action, firstly it inhibits bacterial cell wall synthesis by interfering with the polymerization and cross-linking of peptid

Accessing SureChEMBL data in bulk

It is the peak of the summer (at least in this hemisphere) and many of our readers/users will be on holiday, perhaps on an island enjoying the sea. Luckily, for the rest of us there is still the 'sea' of SureChEMBL data that awaits to be enjoyed and explored for hidden 'treasures' (let me know if I pushed this analogy too far). See here and here for a reminder of SureChEMBL is and what it does. This wealth of (big) data can be accessed via the SureChEMBL interface , where users can submit quite sophisticated and granular queries by combining: i) Lucene fields against full-text and bibliographic metadata and ii) advanced structure query features against the annotated compound corpus. Examples of such queries will be the topic of a future post. Once the search results are back, users can browse through and export the chemistry from the patent(s) of interest. In addition to this functionality, we've been receiving user requests for local (behind the

Multi-task neural network on ChEMBL with PyTorch 1.0 and RDKit

Update: KNIME protocol with the model available thanks to Greg Landrum. Update: New code to train the model and ONNX exported trained models available in github . The use and application of multi-task neural networks is growing rapidly in cheminformatics and drug discovery. Examples can be found in the following publications: - Deep Learning as an Opportunity in VirtualScreening - Massively Multitask Networks for Drug Discovery - Beyond the hype: deep neural networks outperform established methods using a ChEMBL bioactivity benchmark set But what is a multi-task neural network? In short, it's a kind of neural network architecture that can optimise multiple classification/regression problems at the same time while taking advantage of their shared description. This blogpost gives a great overview of their architecture. All networks in references above implement the hard parameter sharing approach. So, having a set of activities relating targets and molecules we can tra

The ChEMBL-og

Search This Blog