22 - Medicinal Chemistry 101: SAR (S2E7)
From Concept to Medicine - A Comprehensive Drug Development Journey
This episode provides a foundational understanding of structure-activity relationships (SAR) in medicinal chemistry. We will explore how systematic chemical changes inform potency and selectivity of drug candidates. The conversation will cover SAR data, reaction mechanisms, and how adjustments are made based on real experimental outcomes. Modern techniques like AI-driven SAR modeling will be introduced, along with the challenges of multiparameter optimization (efficacy, toxicity, solubility).
We'll also delve into real-world examples to illustrate how SAR principles are applied in practice. The episode will explore the use of VR applications like Nanome for SAR visualization, showcasing how technology is transforming drug discovery. Furthermore, we'll discuss the concept of "fail fast, fail cheap" and its importance in early-stage drug development. The episode will conclude with a look at preclinical drug development, highlighting the importance of considering metabolic soft spots and the ADME profile of a drug candidate.
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Transcript
Welcome back, everybody. Today we're doing a deep dive into something pretty cool, structure activity relationships. You probably know it as SAR though, right? Yep. SAR is super important in medicinal chemistry. Yeah, it helps us understand how changing even just a little bit of a drug molecule can have huge effects on how well it works. It really is fascinating. It's like every atom matters. Each piece of the puzzle is crucial. It's true. So we've got a bunch of research papers here, some textbook excerpts too, and even some stuff on AI and drug development, which is interesting. Oh wow. Seems like we'll be covering both traditional SAR studies and some of the more cutting edge stuff too. Awesome. Yeah, it's definitely a field that's constantly evolving. It is. But before we get too far ahead of ourselves, we should probably start with the basics. What exactly I SAR? Totally. That's a great place to start. I mean, in the simplest terms, SAR is all about the relationship between a drug structure, how its atoms are arranged, and its biological activity. Exactly. So basically how it affects the body. Exactly. You can almost think of it like a key fitting into a lock. OK. The shape of the key determines if it can unlock the door. Right. Well, in the same way, the shape and chemical properties of a drug molecule determine how it interacts with its target, whether that's a protein or an enzyme or whatever. Oh, I see. Yeah. And just like a tiny change to a key could make it completely useless. Oh, for sure. A small tweak to a drug molecule can totally change its potency, how strong its effect is, or even its selectivity. you know, how specifically it targets one thing and not others. Exactly. And that's why medicinal chemists are constantly tweaking these molecules, adding or removing atoms, messing with the chemical bonds, and then seeing how those changes affect the drug's behavior. Yeah, it's like fine -tuning a recipe. Ooh, I like that. you know, swapping out ingredients to see if it makes the dish taste better or it changes the texture. Perfect analogy. And just like a chef relies on taste tests, medicinal chemists rely on experimental data to see what works and what doesn't. Yeah, that makes sense. Now, our sources talk about some pretty cool real -world experiments that really show these SAR principles in action. Oh, cool. Like what? Well, one study focused on coedroxyl. Coedroxyl? It's an antibiotic. OK. And they use this special type of mice called PEP2 knockout mice. Have you heard of those? I have, yeah. They don't have the protein that normally helps safe hydroxyl get reabsorbed in the kidneys. Right, exactly. So by using these mice, researchers could basically isolate the role of that specific protein in how safe hydroxyl moves through the body. Gotcha. So what did they find? Well, they found that without that protein, the drug was eliminated way faster. Interesting. Which is super valuable for understanding how to, you know, manipulate a drug's absorption, distribution, and elimination. It is. It's like understanding the whole journey of the drug through the body, right? Exactly. Yeah. And this also highlights how important it is to understand reaction mechanisms. You know, like the step -by -step process of how a drug interacts with its target at the molecular level. Absolutely. We need to know not just that a drug binds to a certain protein, but the exact chemical dance that's happening during that binding. I like that, the chemical dance. So we can refine the structure for better efficacy and maybe even reduce side effects. For sure. Now, all that sounds pretty straightforward, but designing drugs that actually work the way we want them to is anything but simple. Oh, right. Well, the material talks about something called multi -parameter optimization. Oh, yeah. And it sounds like a real challenge. It is. Basically, you see, it's not enough for a drug to just be potent. It also has to be safe, right? It needs to be soluble so your body can absorb it. And ideally, it should be easy to manufacture and administer too. So it's like juggling a bunch of balls at the same time. Yeah. You're trying to get efficacy up there, how well it works, while also minimizing any toxicity. Exactly. Not to mention things like solubility, how easily it dissolves in the body. Right. And stability, meaning how long it stays active. Well, that sounds super complicated. Oh, it is. Balancing all those things at once, it's not easy. Which is probably why these new technologies like AI -driven SAR modeling are so exciting. Oh, yeah. That's some seriously cool stuff. From what I've read, these AI systems can analyze huge amounts of data super quickly to find those promising modifications. Yeah. Imagine being able to screen thousands or even millions of potential modifications all on the computer before ever setting foot in a lab. That's incredible. It's really changing the game. One platform that our sources mentioned is called AtomNet. It was developed by a company called Atomwise. Oh, AtomNet. Yeah, I've heard of that. It's a great example of how deep learning is transforming drug discovery. Okay. So how does it actually work? Well, deep learning is all about finding patterns, right? So AdamNet looks at tons and tons of data on molecular structures and their biological activities and learns from all that research that's already been done. So it's basically learning from the past to predict the future. Exactly. So then it can predict how effective a new molecule might be even before it's even made in a lab. So it's like having a super powered research assistant. Kind of, yeah. It can sift through mountains of data and point out the most promising candidates. Of course, it's not going to replace human experts anytime soon. I was going to say. But it's definitely giving us a huge boost. That's incredible. And speaking of exciting new tech, there's this VR application called Nanome that's mentioned in our sources. Nanome. Yeah. It helps scientists visualize all this complex SAR data in a completely new way. Oh, that's right. I've seen some demos of that. It's pretty wild. So can you imagine being able to like walk through a molecule? Yeah. Seeing its 3D structure and actually manipulating its atoms all in virtual reality? Yeah, it's pretty mind blowing. It sounds like something out of science fiction. So how does this visualization actually help with SAR studies? Well, think about it. Traditionally, SAR data is represented in 2D. Which isn't bad, but it's not the best when you're trying to understand these really complicated 3d interactions between a drug and its target So it's like the difference between looking at a flat map of a city Yes, exactly versus actually being able to walk through the streets in 3d That's a great way to put it. By actually being able to see those interactions in VR, researchers can get a much deeper understanding of how changing the molecule might affect how the drug behaves. Yeah. It's not just about seeing the molecule. It's about understanding how it works in that 3D space. Exactly. It's about the relationships, the interactions, and all of that can lead to faster and more effective drug design. It really is amazing how much technology is changing the way we do science, huh? For sure. Okay, so just to quickly recap what we've talked about so far. We started with the basics of SAR, which is all about the relationship between a drug's structure and its activity. And we saw how even tiny changes can have a huge impact on a drug's potency and selectivity. We also talked about how challenging it can be to optimize a drug for all those different parameters. Yes, so many things to consider. Like efficacy, toxicity, solubility, all that. Right. And we're seeing how technology like AI and VR are really revolutionizing drug discovery. They really are. It's a really exciting time to be working in this field. Absolutely. Now let's move on to another important aspect of this whole process. the challenges and considerations in preclinical drug development. Oh, yeah, that's where things start to get real. Exactly. It's that crucial step before we can even think about testing a drug in humans. Absolutely. It's all about making sure that a potential drug is safe and effective before we start giving it to people. Couldn't agree more. Now, the material delves into all sorts of things about preclinical development. But one thing that really caught my eye was this idea of metabolic soft spots. Oh, right. We touched on that briefly earlier. Yeah, we did. It seems super important in the context of preclinical testing, though. You're right. It is. So a metabolic soft spot is basically a part of a drug molecule that's really vulnerable to being broken down by enzymes in the body. OK. So if a drug gets metabolized too quickly, it might not be able to reach its target. Exactly. It might not be able to stick around long enough to actually do its job. That makes perfect sense. So I guess that's where the modifications come in again. You got it. Scientists can tweak the molecule to make it more stable. So they might add something bulky to protect that vulnerable area. Yeah. Or adjust the chemical bonds to make it harder for enzymes to break it down. I see. It's like reinforcing those weak points so the drug can survive the journey through the body. Exactly. It's amazing how much goes into these preclinical studies. It's like a whole detective investigation before you can even move on to the next stage. I love that analogy. It's so true. It really highlights how important this stage is in drug development. All right. Let's pause here for a second. We'll be right back. Welcome back, everyone. So before we move on to clinical trials, I think we should dig a little deeper into these preclinical studies. You know, they're really crucial in figuring out if a drug candidate is ready for the next stage. Totally. And you were talking about metabolic soft spots earlier, which seems to be a big focus in these preclinical evaluations. It kind of sounds like researchers are in this constant battle with the body's metabolic processes, right? Yeah, that's a great way to put it. Our bodies are incredibly efficient at breaking down anything they see as foreign, including drugs. Right. So a big challenge in drug design is creating molecules that can survive those metabolic attacks, at least long enough to reach their targets and do what they're supposed to do. So basically identifying and fixing those soft spots is like... essential for a drug to actually be effective. Exactly. Imagine you build this powerful engine, but it's made of a material that just falls apart under stress. Oh, okay. You wouldn't want to put that engine in a car, right? No, definitely not. It's the same with drugs. If it gets metabolized too quickly, it might not even have a chance to work. That makes sense. So I'm guessing that's where those modifications come in again, right? Like tweaking the molecule structure so it's tougher. Exactly. We can try to reinforce those soft spots by adding, say, a bulky group that kind of shields the vulnerable area. OK. Or maybe adjust the chemical bonds a bit to make it harder for those enzymes to break it down. So it's all about making the drug more stable and increasing its chances of success, basically. Right. It's like giving it armor. Now, these preclinical studies involve a whole bunch of different tests and analyses. And aside from metabolism, we're also super interested in something called the ADME profile. ADME. It stands for absorption, distribution, metabolism, and excretion. OK. And all of these factors determine how a drug moves through the body, how it gets to its target, and how it's eventually eliminated. So it's basically mapping the drug's journey through the body from start to finish. precisely, and each step in that journey can impact how effective and safe a drug is. Like if a drug isn't absorbed well, it might not reach a high enough concentration in the blood to do anything. Right. Or if it's distributed too widely, it could start messing with other tissues and causing side effects. That makes sense. So it's a real balancing act to get all these things just right. Oh, yeah. It's super complex. And that's why these preclinical studies are so important. They give us tons of info that helps us refine the drug's formulation, figure out the best dose, and ultimately decide if it's even worth it. moving on to clinical trials. Right, those trials are the next big step. That's where we actually see how the drug works in people, in the real world. Exactly. But before we jump ahead, there's one more challenge that often pops up during preclinical development, especially when we're dealing with drugs for brain disorders. Oh, are you talking about the blood -brain barrier? Bingo! That's the one. It's an amazing protective mechanism. It keeps all sorts of harmful substances out of our brains. But it also makes it really hard to get drugs into the brain. It's like a fortress around the brain keeping the bad stuff out. Yeah. But also making it tough for the good stuff to get in. Perfect analogy. The blood brain barrier is super picky about what it lets through. So designing drugs that can actually cross this barrier and hit their targets in the brain is a huge challenge. So how do scientists even begin to tackle that? Well, one approach is to make drugs that are small and lipophilic. That means they like to dissolve in fats. And that helps them slip through those fatty membranes that make up the blood -brain barrier. So it's kind of like designing a key that fits both the lock on the gate and the lock on the trachea chest inside. I love that. But yeah, it's tricky. We also need to make sure the drug still retains those chemical properties that actually make it effective against its target. That sounds incredibly difficult. It is, but researchers are always coming up with new strategies like using nanoparticles as carriers or even designing molecules that can kind of trick the barrier into letting them through. Wow, it's amazing what scientists can do. It really is. It shows just how dedicated they are to finding treatments for these really complex brain disorders. Okay, let's take a quick break here. When we get back, we'll finally dive into those much anticipated clinical trials. All right, we're back and ready to tackle the final stage of drug development. clinical trials. This is where we move from the lab to real people, right? It's where we really see if a drug can live up to its potential. You got it. It's where the rubber meets the road. All that research, all those preclinical studies, it all comes down to this. Can this drug actually help patients? So clinical trials are usually broken down into different phases, each with its own goals. Can you walk us through those? Of course. Clinical trials are very carefully designed. We want to be sure we're evaluating a drug's safety and how well it works while keeping the participants safe. It all starts with phase one, which is really all about safety. OK. We start with a small group of healthy volunteers just to figure out the safe dosage range and see if there are any side effects. So it's like we're easing into it, right? Making sure it's OK before we go any further. Yeah, exactly. We just want to see how the drug is handled by the body. Watch out for any bad reactions. Once we're comfortable with the safety profile, we move on to phase two. And is that when we start testing on people who actually have the condition the drug is supposed to treat? Right. In phase two, we include folks who have the specific disease we're targeting. And the goal here is to get an early look at how effective the drug is. Does it actually seem to work? We're also still keeping a close eye on safety, of course, and fine tuning the dosage. So it's kind of like a pilot study, right? A smaller test run before the big one. Exactly. If things look good in phase two, you know, if the drug seems safe and effective, then we can move on to phase three. And this is the big leagues, right? Big trials with lots of people, the whole nine yards, the real test. Exactly. Phase three trials are the most rigorous and extensive. We often have thousands of participants at different sites. And the goal is to confirm that the drug really... does work, check for any rare side effects that might have been missed before, and see how it compares to other treatments or a placebo. Oh, right, the placebo. That's the sugar pill, right? That's the one. It's an inactive substance. We use it as a control just to be extra sure that any positive effects we're seeing are truly due to the drug and not just, you know, in people's heads. Makes sense. You got to be thorough. So all this data from phase three, that's what the FDA looks at, right? Right. The FDA wants to make sure that any drug that goes out to the public is both safe and effective. They'll review all the data from the trials really carefully before deciding whether to approve it. It sounds like such a long and demanding process. Oh, it definitely is. But it's essential. It's all about protecting public health. We want to be sure that any therapies that are available have been thoroughly tested and are as safe as possible. Totally agree. And so even after a drug is approved, the monitoring doesn't stop there, does it? Nope. It's an ongoing process. Even once a drug is on the market, it's continuously monitored for any long term or delayed side effects that maybe didn't show up during trials. So it's really this constant cycle of evaluation and improvement. all with the goal of creating safer and better treatments. Exactly. It's all about pushing forward, always learning, always looking for ways to do better. Well, this has been an amazing journey. We started at the molecular level talking about how even small changes can have a huge impact on a drug's behavior. Right. Those SARS are where it all begins. Exactly. And then we moved all the way up to these large -scale clinical trials, where we see a drug's true potential. It's been a fascinating look at how far drug development has come, from traditional SAR studies to those incredible new tools like AI and VR. It really makes you appreciate the sheer amount of work and dedication that goes into bringing new treatments to people who need them. Absolutely. It's a truly amazing collaborative effort, all driven by that desire to improve human health. Couldn't have said it better myself. A big thank you to our expert for walking us through all of this. And to our listeners, we hope you enjoyed this deep dive into medicinal chemistry. Until next time, stay curious.