Skip to main content

Summary of U.S. New Drugs For 2010

Here is an initial list of the 2010 US new approved drugs (specifically New Molecular Entities). The way we count things, there were 19 novel newly approved drug substantces in the US last year.

#USANTradenameIcon
1 Tocilizumab Actemra / RoActemra
2 Dalfampridine Ampyra
3 Liraglutide Victoza
4 Velaglucerase alfa VPRIV
5 Carglumic acid Carbaglu
6 Polidocanol Asclera
7 Denosumab Prolia
8 Cabazitaxel Jevtana
9 Sipuleucel-T Provenge
10 Ulipristal Acetate Ella
11 Alcafatadine Lastacaft
12 Pegloticase Krystexxa
13 Fingolimod Gilenya
14 Dabigatran Etexilate Pradaxa
15 Lurasidone Latuda
16 Ceftaroline Fosamil Teflaro
17 Eribulin Mesylate Halaven
18 Tesamorelin Egrifta
19 Dienogest Natazia


12 are small molecule drugs, and 7 are biologicals. Of the small molecule drugs, 6 (32%) are small molecule synthetic drugs, 6 (32%) are small molecule natural product-derived drugs, 6 (32%) are biologicals (including peptides, enzymes and mAbs) and one (5%) is a cell-based therapy. Also interesting is the fact that the majority are parenterally dosed (11 of 19) (58%).


For details on the icon set used in the table, see this link.

Following some checking, I've added Dienogest to the list (it is part of the combination product Natazia), and updated the analysis below... Some sources are stating that there are 21 'New Drugs' for 2010; however, a 'new drug' is not necessarily the same as an NME, and also there are some inconsistencies on the FDA approval tables for 2010 at the current time (for NMEs that everolimus (Zortress) was first approved in the US in 2010, it was actually first approved in 2009 as Affinitor), that make counting the NMEs for the year problematic. the raw approval data from the FDA is in a series of monthly charts, accessible here (unfortunately, there is no easy, web-friendly way to provide a set of useful links, you'll just have to type in the months). In these tables you should look for the 1s, as being the new NMEs, as you will see, quite a few are unassigned, and as mentioned above there are some errors (e.g. everolimus was first approved (as a new NME) last year, however, under a different Tradename, for a different indication).


UPDATE: One of the potentially new NMEs of last year is incobotulinumtoxinA (trademark:Xeomin), this is a type A botulinum toxin, in the same class as abobotulinumtoxinA (trademark:Dysport, Reloxin, Azzalure), and onabotulinumtoxinA (trademark:BOTOX). These are essentially identical from an active component perspective (the USAN statements are abobotulinumtoxinA, incobotulinumtoxinA, and onabotulinumtoxinA) and the sequences are essentially identical. It is the convention, that due to the very high potency, and subsequent differences in potency from different production/processing routes for botulinum toxin products, that different USANs are assigned to highlight the non-bioequivalence of different products. This is part of a broader issue of assigning bioequivalence of biological drugs, which has exercised drug producers, regulators, and consumers over recent years. Since we are mostly interested in drugs differentiated by differing molecular structures, we do not consider these are distinct NMEs, and so incobotulinumtoxinA is not counted in our analysis as a new NME. A similar issue occurred last year.

Another interesting case for a new 2010 biological drug is Collagenase Clostridium histolyticum (approved in the US in 2010 as Xiaflex), which is a defined composition mixture of two bacterial collagenase gene products. Xiaflex is dosed parenterally. In 2004 Santyl was approved as a topical drug for wound debridement; the active ingredient in Santyl is ‘Collagenase clostridium histolyticum’, produced by an entirely different process. It would appear from cursory literature analysis that Santyl has non-articulated composition (this is not the same as having a variable or non-specific composition, just that the components are not in a defined composition in the easily accessible public regulatory documents). There are clear developmental and safety differences between a topically dosed ‘local’ agent (Santyl), and an agent that has full exposure to the circulatory and immune system (Xiaflex), and they serve different patient populations, have different indications, etc. They are clearly non-substitutable in a clinical setting.

So, how does one treat this case? Should Xiaflex be considered as actually two new NMEs (the independent and related products of the related ColG and ColH gene products, which is actually what the USAN references) towards drug approval innovation numbers, or should it be subsumed under the previous approval of Collagenase Clostridium histolyticum for Santyl. We have taken the view, from the perspective of the approval of ‘new NMEs’, that Xiaflex contains a previously approved active ingredient. Others will take different views.

More broadly, it is of interest to examine the USAN definition for Xiaflex - it contains two distinct chemical components (the two sequence related collagenase proteins) in a simple mixture - there is nothing special about the mixture - for example, they are not a defined composition obligate heterodimer, and they will be separable from drug substance via straightforward routes under native physiological-like conditions. Some small molecule USANs contain multiple molecules, but these are invariably salts, and in cases where there are two (or more) active ingredients in a small molecule drug, they are typically assigned separate USANs. Furthermore, the convention now is to assign a USAN for the parent small molecule, as well as for each distinct salt, even if the salt is the only component in an approved product. This is in-line with the INN model (where salts are not usually assigned distinct INNs) Logically, to us, from an informatics perspective, it would make sense to assign USANs for Xiaflex at the level of the distinct proteins), and then for Xiaflex to be a ‘product’ containing two USANs as a defined mixture, in the same way the many small molecule mixture drugs are defined. Anyway, the informatics representation of biological drugs, and the concepts of bioequivalence, differences in post-translational processing (proteolytic maturation, N- and O-linked glycosylation, etc) may seem to be a semantic discussion, but it does have important commercial and healthcare implications. This issue will no doubt keep many drug discoverers, regulators, and intellectual property staff employed for some time, and hopefully will eventually bring improved, cheaper and continually innovative healthcare to all.

Stepping back even further… Given that current drug naming processes and ‘business rules’ were developed at a time when the complexities of biological drugs were not imagined, and also before a time of electronic databases, and the benefits of the application of controlled vocabularies, dictionaries and ontologies were really appreciated - it is interesting to reflect on how it would be done nowadays if starting from scratch. More of this in a future post (maybe).

In final summary, the number of molecularly novel drugs that were approved in the US last year is between 19 and 22, with the difference being in the way that biological drugs are treated!

Comments

Popular posts from this blog

ChEMBL 34 is out!

We are delighted to announce the release of ChEMBL 34, which includes a full update to drug and clinical candidate drug data. This version of the database, prepared on 28/03/2024 contains:         2,431,025 compounds (of which 2,409,270 have mol files)         3,106,257 compound records (non-unique compounds)         20,772,701 activities         1,644,390 assays         15,598 targets         89,892 documents Data can be downloaded from the ChEMBL FTP site:  https://ftp.ebi.ac.uk/pub/databases/chembl/ChEMBLdb/releases/chembl_34/ Please see ChEMBL_34 release notes for full details of all changes in this release:  https://ftp.ebi.ac.uk/pub/databases/chembl/ChEMBLdb/releases/chembl_34/chembl_34_release_notes.txt New Data Sources European Medicines Agency (src_id = 66): European Medicines Agency's data correspond to EMA drugs prior to 20 January 2023 (excluding vaccines). 71 out of the 882 newly added EMA drugs are only authorised by EMA, rather than from other regulatory bodies e.g.

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

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

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

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