Category → Making Molecules
Bookmark this page now, folks. On Wednesday, April 10, I will be here, liveblogging the public debut of five drug candidates’ structures. The “First Time Disclosures” Session at the ACS National Meeting in New Orleans runs from 2PM-4:55PM Central time. I am not able to conjure up a permalink to the session program, so here’s a screengrab instead.
1:20PM I’m in hall R02, where the session’s set to begin in about 40 minutes. Found a seat with a power outlet nearby, so I’m good to go!
Company: Bristol-Myers Squibb
Meant to treat: cancers including breast, lung, colon, and leukemia
Mode of action: pan-Notch inhibitor
Medicinal chemistry tidbit: The BMS team used an oxidative enolate heterocoupling en route to the candidate– a procedure from Phil Baran’s lab at Scripps Research Institute. JACS 130, 11546
Status in the pipeline: Phase I
Relevant documents: WO 2012/129353
Company: Novartis Institutes for Biomedical Research and Genomics Institute of the Novartis Research Foundation
Meant to treat: melanoma with a specific mutation in B-RAF kinase: V600E
Mode of action: selective mutant B-RAF kinase inhibitor
Status in the pipeline: Phase Ib/II
Relevant documents: WO 2011/023773 ; WO 2011/025927
Meant to treat: respiratory diseases, in particular chronic obstructive pulmonary disease
Mode of action: non-steroidal glucocorticoid receptor modulators
Medicinal chemistry tidbit: This compound originated in part from a collaboration with Bayer Pharma.
Status in the pipeline: Phase II
Relevant documents: WO 2011/061527 ; WO 2010/008341 ; WO 2009/142568
Birinapant (formerly known as TL32711)
Company: TetraLogic Pharmaceuticals
Meant to treat: cancer
Mode of action: blocks the inhibitor of apoptosis proteins to reinstate cancer cell death
Status in the pipeline: Phase II
Relevant documents: US 8,283,372
MGL-3196 (previously VIA-3196)
Company: Madrigal Pharmaceuticals, acquired from VIA Pharmaceuticals, licensed from Roche
Meant to treat: high cholesterol/high triglycerides
Mode of action: mimics thyroid hormone, targeted to thyroid hormone receptor beta in the liver
Medicinal chemistry tidbit: this molecule was discovered at Roche’s now-shuttered Nutley site.
Status in the pipeline: completed Phase I trials
Relevant documents: WO 2007/009913 ; WO 2009/037172
And that’s it, folks! Watch the April 22nd issue of C&EN for more on this session.
When you think of reaction screening, what comes to mind? Most would say LC-MS, the pharma workhorse, which shows changes in molecular polarity, mass, and purity with a single injection. Some reactions provide conversion clues, like evolved light or heat. In rare cases, we can hook up an in-line NMR analysis – proton (1H) usually works best due to its high natural abundance (99.9%).
Please welcome a new screening technique: 13C NMR. How can that work, given the low, low natural abundance of ~1.1% Carbon-13?
Researchers at UT-Southwestern Medical Center have the answer: rig the system. Jamie Rogers and John MacMillan report in JACS ASAP 13C-labeled versions of several common drug fragments, which they use to screen new biocatalyzed reactions.
Biocatalysis = big business for the pharma world. The recent Codexis / Merck partnership for HCV drug boceprevir brought forth an enzyme capable of asymmetric amine oxidation. Directed evolution of an enzyme made sense here, since they knew their target structure, but what if we just want to see if microbes will alter our molecules?
Enter the labeled substrates: the researchers remark that they provide an “unbiased approach to biocatalysis discovery.” They’re not looking to
accelerate a certain reaction per se, but rather searching for any useful modifications using the 13C “detector” readout. One such labeled substrate, N-(13C)methylindole, shows proof-of-concept with their bacterial library, producing two different products (2-oxindole and 3-hydroxyindole) depending on the amount of oxygen dissolved in the broth. NMR autosamplers make reaction monitoring a snap, and in short order, the scientists show biotransformations of ten more indole substrates.
This paper scratches multiple itches for various chem disciplines. Tracking single peaks to test reactions feels spookily close to 31P monitoring of metal-ligand catalysis. Organickers, no strangers to medicinally-relevant indole natural products, now have another stir-and-forget oxidation method. Biochemists will no doubt wish to tinker with each bacterial strain to improve conversion or expand scope. The real question will be how easily we can incorporate 13C labels into aromatic rings and carbon chains, which would greatly increase the overall utility.
“Picking a fight without Darwin is like going to the moon without Newton,” Read added. “We are in the dark ages when it comes to evolutionary management.”
Read, director of Penn State University’s Center for Infectious Disease Dynamics, sat down with me on Thursday and shared a few principles he thinks the scientific community should keep in mind in order to keep antibiotic resistance in check. Here are his five tips for would-be superbug slayers. Continue reading →
You know you’re at an interesting conference when the director of the NIH starts off his presentation with a guitar duet, and shares a session with Cookie Monster.
But the organizers of TEDMED made a very deliberate decision in opening this year’s conference with Francis Collins. This is the first year that the gathering of medical luminaries, artists, and design gurus (TED stands for Technology, Entertainment, Design) is taking place in Washington, DC, after moving from San Diego. It marks a philosophical shift for the organization, from TEDMED as idea incubator to TEDMED as inserting itself into the national conversation on health and medicine. What better way to do that then bringing in the head of the biggest biomedical funding agency?
Collins wants to compress the time it takes to get a drug development pipeline, and make the pipeline less leaky. This isn’t news to folks around the pharma blogosphere, including here at the Haystack, Ash at Curious Wavefunction and Derek Lowe, who’ve followed last year’s announcement of NIH’s venture for drug discovery, the National Center for Advancing Translational Sciences.
Folks have expressed some concerns about the concept, and its emphasis on the promise of gene-based drug discovery. But, as Derek noted, the fact of the matter is that everyone in drug discovery wants the things Collins wants, so there’s a measure of goodwill for the venture too.
Collins spent his time on the TEDMED stage emphasizing two things: drug repurposing and developing high-tech cellular solutions to supplement and replace often-imperfect animal models.
On the tech side, Collins showcased the Harvard-based Wyss Institute’s lung-on-a-chip, which combines tissue engineering and electronics to mimic the interface between the lung’s air sacs and capillaries (Science, DOI: 10.1126/science.1188302). He said that technologies like this suggest viable alternatives to animal testing are possible.
When New Scientist reported on the lung-on-a-chip in 2010, researchers praised it as a step in the right direction, but cautioned that immortalized cell lines, such as those on the chip, don’t neccesarily behave like primary cells from patients. Collins also noted that it might be possible to use such devices with patients’ own cells someday.
On the repurposing side, Collins cited an article on the topic in Nature Reviews Drug Discovery (DOI: 10.1038/nrd3473), and alluded to lonafarnib (SCH 66336), a farnesyltransferase inhibitor that was originally designed to be part of cancer-treatment cocktails. It didn’t pan out as a cancer drug, Collins said, but now clinical trials are underway to test whether the drug is effective at countering a rare mutation that causes Hutchinson-Guilford progeria, an ailment that leads to rapid aging in children. Collins shared the stage with 15-year-old Sam, a progeria patient.
To bridge the massive gap between ideas and applications in medicine “we need resources, we need new kinds of partnerships, and we need talent,” he told the audience.
In a conversation with reporters after his talk, Collins provided another repurposing story published last month– bexarotene, a retinoid X receptor agonist intended for lymphoma that was just shown to clear amyloid-beta and reverse cognitive deficits in a mouse model of Alzheimer’s (Science, DOI: 10.1126/science.1217697)
At that chat, I asked Collins how the repurposing effort and his call for talent squares with massive layoffs in industry and flat or declining funding.
“It would help if we had a strong foundation of support,” Collins said. He said his agency’s purchasing power has decreased 20% over the last 8 years.
Another reporter asked what was the main obstacle to getting repurposing become habit. “IP,” Collins said. He told reporters that a model intellectual property sharing agreement with pharmaceutical companies has been drafted. Asked if companies had signed on to it, Collins said “we’re working on it.”
Medicinal chemists strive to optimize molecules that fit snugly into their proposed targets. But in the quest for potency, we often overlook the local physics that govern drugs’ binding to these receptors. What if we could rationally predict which drugs bind well to their targets?
A new review, currently out on J. Med. Chem. ASAP, lays out all the computational backing behind this venture. Three computational chemists (David Huggins, Woody Sherman, and Bruce Tidor) break down five binding events from the point-of-view of the drug target: Shape Complementarity, Electrostatics, Protein Flexibility, Explicit Water Displacement, and Allosteric Modulation….whew!
Note: Before we dive into this article, let’s clarify a few terms computational drug-hunters use that bench chemists think of differently: ‘decoy’ – a test receptor used to perform virtual screens; ‘ligand’ – the drug docking into the protein; ‘affinity / selectivity’ – a balance of characteristics, or how tightly something binds vs. which proteins it binds to; ‘allosteric’ – binding of a drug molecule to a different site on an enzyme than the normal active site. Regular readers and fans of compu-centric chem blogs such as The Curious Wavefunction and Practical Fragments will feel right at home!
We’ll start at the top. Shape complementarity modeling uses small differences in a binding pocket, such as a methylene spacer in a residue (say, from a Val to Ile swap) to dial-in tighter binding between a target and its decoy. The authors point out that selectivity can often be enhanced by considering a drug that’s literally too big to fit into a related enzymatic cavity. They provide several other examples with a ROCK-1 or MAP kinase flavor, and consider software packages designed to dock drugs into the “biologically active” conformation of the protein.
Electrostatic considerations use polar surface maps, the “reds” and “blues” of a receptor’s electronic distribution, to show how
molecular contacts can help binding to overcome the desolvation penalty (the energy cost involved in moving water out and the drug molecule in). An extension of this basic tactic, charge optimization screening, can be used to test whole panels of drugs against dummy receptors to determine how mutations might influence drug binding.
Because target proteins move and shift constantly, protein flexibility, the ability of the protein to adapt to a binding event, is another factor worth considering. The authors point out that many kinases possess a “DFG loop” region that can shift and move to reveal a deeper binding cavity in the kinase, which can help when designing binders (for a collection of several receptors with notoriously shifty binding pockets – sialidase, MMPs, cholinesterase – see p. 534 of Teague’s NRDD review).
But these shifting proteins also swim in a sea of water and other cytoplasmic goodies. This means that drug designers, whether they like it or not, must account for explicit water molecules. The authors even suggest a sort of “on-off” switch for including the bound water molecules, but contend that more efforts should be directed to accurate modeling of water in these protein settings.
Finally, the authors weigh the effects of allosteric binding, the potential for a modeled molecule to be highly selective for a site apart from where the protein binds its native ligand. The authors consider the case of a PTP1B ligand that binds 20Å away from the normal active site, at the previously mentioned “DFG loop.” Since this binding hadn’t been seen for related phosphatases, it could then be used to control selectivity for PTP1B.
In each section, the authors provide examples of modeling studies that led to the design of a molecule. Two target classes recur often throughout the review: HIV protease inhibitors (saquinavir, lopinavir, darunavir) and COX-2 inhibitors (celecoxib), which have all been extensively modeled.
Two higher-level modeling problems are also introduced: the substrate-envelope hypothesis, which deals with rapidly mutating targets, and tailoring molecules to take rides in and out of the cell using influx and efflux pumps in the membrane. Since different cell types overexpress certain receptors, we can use this feature to our advantage. This strategy has been especially successful in the development of several cancer and CNS drugs.
Overall, the review feels quite thorough, though I suspect regular Haystack readers may experience the same learning curve I did when adapting to the field-specific language that permeates each section. Since pictures are worth a thousand words, I found that glancing through the docking graphics that accompany each section helped me gain a crucial foothold into the text.
In my story on how drugs get their generic names for this week’s issue of C&EN, I briefly discussed how the chronic myelogenous leukemia medication Sprycel (dasatinib), mentioned in this Haystack post by SeeArrOh, ended up being named after Bristol-Myers Squibb research fellow Jagabandhu Das. Even though Das, or Jag, as his coworkers call him, didn’t discover the molecule that bears his name, the program leader for Das’s team, Joel Barrish, says dasatinib wouldn’t have existed without him.
So how’d Das make a difference? About one and a half years into the search for a kinase inhibitor that might be able to treat chronic myelogenous leukemia, “we were hitting a wall,” Barrish, today vice-president of medicinal chemistry at BMS, recalls. “We couldn’t get past a certain level of potency.”
Early on, the team’s work suggested that a 4′-methyl thiazole was critical for potency. Replace the methyl with a hydrogen, and potency went out the window. But Das challenged that dogma, Barrish says. He thought the compound series had evolved to the point where it would be a good idea to go back and test those early assumptions. His hunch paid off– in the new, later kinase inhibitor series, it turned out that removing the methyl group from the thiazole actually boosted potency. Thanks in large part to that discovery, the team eventually was able to make kinase inhibitors with ten thousand fold higher activity.“Jag didn’t stop there,” Barrish says. After debunking the methyl dogma, Das found a way to replace an undesirable urea moiety in the team’s inhibitors with a pyrimidine group, which improved the inhibitors’ physical properties. With help from Das’s two insights combined, eventually BMS’s team came up with the molecule that became dasatinib (J. Med. Chem., DOI: 10.1021/jm060727j).
Generic naming requirements are extensive, but the committees involved in the naming process are willing to use inventors’ names as long as they fit the criteria.
But sometimes, Barrish says, “there’s luck involved in who makes the final compound.” In the dasatinib story, though, it was clear that Das’s discoveries were the keys to success.
When dasatinib was in clinical trials and it came time to put forward a set of possible generic names for consideration, Barrish didn’t have to think too hard about who was most responsible for his team’s success. “It was very clear in my mind that it was Jag,” he says. So he added dasatinib to the list.
“I admit, it was one of those things you do and you kind of forget about it, thinking, ‘oh, they’ll pick something else’,” Barrish says. When dasatinib ended up being the name of choice, he says, it made the entire team feel good. “And obviously, Jag was quite pleased with it.”
Sufferers of chronic myeloid leukemia (CML), a rare and tough-to-treat blood cancer, received some good news at the 2011 American Society of Hematology meeting in San Diego this week. On Monday, ARIAD Pharmaceuticals disclosed new results from the Phase 2 PACE trial of its lead drug ponatinib (AP24534). The data (covered by FierceBiotech, Xconomy, and TheStreet), indicate major responses to the drug in ~40% of recipients, even in advanced or refractory (resistant to treatment) CML .
With these numbers in hand, ARIAD enters a tight race, already populated by headliners like Gleevec (imatinib), which in 2001 made a splash as a first-line CML therapy. Drugs such as Gleevec and ponatinib belong to the family of tyrosine kinase (TK) inhibitors, which dock with a mutated protein called Bcr-Abl. This protein (actually a fusion of two distinct proteins via a chromosomal mishap) triggers disease by accelerating blood cell creation, leading to uncontrolled growth and eventually CML.
Since cancers constantly evolve, new mutations in the TK active site had rendered Gleevec ineffective for certain variations of CML. Many of the PACE trial patients had previously tried newer TK inhibitors, such as Sprycel (dasatinib, BMS) and Tasigna (nilotinib, Novartis), and found that their CML had become resistant due to a single amino acid mutation in the kinase active site, which swapped a polar residue (threonine) for a carbon chain (isoleucine). So, ARIAD chemists decided to develop a drug that borrowed the best points from the earlier therapies, but capitalized on this mutation (A pertinent review in Nature Chemical Biology covers early examples of “personalized” cancer drugs developed for disease variants).
So, how did they accomplish this particular act of molecular kung-fu? For that, we hit up the literature and go all the way back to . . . 2010. As explained in a development round-up (J. Med. Chem., 2010, 53, 4701), most approved Bcr-Abl inhibitors share several traits: densely-packed nitrogen heterocycles linked to a toluyl (methyl-phenyl) amide, then a highly polar end group, such as piperazine or imidazole. Since the mutation axed a threonine residue, the hydrogen-bond donor adjacent to the ring in earlier drugs was no longer necessary. So, chemists replaced it with a vinyl group.
A computer analysis designed to achieve better binding and drug-like properties suggested an alkyne linker might fit into the mutated active site even better than a vinyl group, so that’s ultimately what ARIAD installed. The program also suggested moving an exocyclic amino group into the aromatic (forming an uncommon imiadzo-[1,2-b]-pyridazine, green in picture). Borrowing the best stuff from other therapies, ARIAD’s chemists also wove in the “flipped” amide and -CF3 motifs (both blue) from nilotinib, as well as the methylpiperazine (red) from imatinib.
With computational rendering (Cancer Cell, 2009, 16, 401) ARIAD scientists could overlay both imatinib and ponatinib in the mutated enzyme’s active site (see picture, right). Notice that unlike imatinib, ponatinib avoids bumping into isoleucine 315. Ponatinib also gets a little extra binding oomph by poking its CF3 group into a hydrophobic pocket near the bottom of the active site.