WEBVTT 00:00:00.913 --> 00:00:04.016 Growing up in central Wisconsin, I spent a lot of time outside. 00:00:04.040 --> 00:00:07.087 In the spring, I'd smell the heady fragrance of lilacs. 00:00:07.666 --> 00:00:10.331 In the summer, I loved the electric glow of fireflies 00:00:10.355 --> 00:00:12.529 as they would zip around on muggy nights. 00:00:12.553 --> 00:00:16.029 In the fall, the bogs were brimming with the bright red of cranberries. 00:00:16.776 --> 00:00:18.553 Even winter had its charms, 00:00:18.577 --> 00:00:21.149 with the Christmassy bouquet emanating from pine trees. 00:00:21.173 --> 00:00:24.339 For me, nature has always been a source of wonder and inspiration. NOTE Paragraph 00:00:25.292 --> 00:00:28.347 As I went on to graduate school in chemistry, and in later years, 00:00:28.371 --> 00:00:31.497 I came to better understand the natural world in molecular detail. 00:00:31.521 --> 00:00:33.291 All the things that I just mentioned, 00:00:33.315 --> 00:00:35.514 from the scents of lilacs and pines 00:00:35.538 --> 00:00:38.307 to the bright red of cranberries and the glow of fireflies, 00:00:38.331 --> 00:00:40.156 have at least one thing in common: 00:00:40.482 --> 00:00:42.615 they're manufactured by enzymes. NOTE Paragraph 00:00:43.180 --> 00:00:46.330 As I said, I grew up in Wisconsin, so of course, I like cheese 00:00:46.354 --> 00:00:48.069 and the Green Bay Packers. 00:00:48.093 --> 00:00:50.061 But let's talk about cheese for a minute. 00:00:50.085 --> 00:00:51.712 For at least the last 7,000 years, 00:00:51.736 --> 00:00:54.014 humans have extracted a mixture of enzymes 00:00:54.038 --> 00:00:56.760 from the stomachs of cows and sheep and goats 00:00:56.784 --> 00:00:57.998 and added it to milk. 00:00:58.022 --> 00:01:01.451 This causes the milk to curdle -- it's part of the cheese-making process. 00:01:01.475 --> 00:01:03.855 The key enzyme in this mixture is called chymosin. 00:01:03.879 --> 00:01:05.704 I want to show you how that works. NOTE Paragraph 00:01:05.728 --> 00:01:07.626 Right here, I've got two tubes, 00:01:07.650 --> 00:01:09.856 and I'm going to add chymosin to one of these. 00:01:09.880 --> 00:01:11.147 Just a second here. 00:01:11.744 --> 00:01:15.206 Now my son Anthony, who is eight years old, 00:01:15.230 --> 00:01:18.508 was very interested in helping me figure out a demo for the TED Talk, 00:01:18.532 --> 00:01:22.652 and so we were in the kitchen, we were slicing up pineapples, 00:01:22.676 --> 00:01:26.610 extracting enzymes from red potatoes 00:01:26.634 --> 00:01:28.713 and doing all kinds of demos in the kitchen. 00:01:28.737 --> 00:01:29.896 And in the end, though, 00:01:29.920 --> 00:01:32.086 we thought the chymosin demo was pretty cool. 00:01:32.110 --> 00:01:33.506 And so what's happening here 00:01:33.530 --> 00:01:37.529 is the chymosin is swimming around in the milk, 00:01:37.553 --> 00:01:40.672 and it's binding to a protein there called casein. 00:01:40.696 --> 00:01:42.974 What it does then is it clips the casein -- 00:01:42.998 --> 00:01:44.800 it's like a molecular scissors. 00:01:45.102 --> 00:01:49.141 It's that clipping action that causes the milk to curdle. 00:01:49.165 --> 00:01:51.935 So here we are in the kitchen, working on this. 00:01:52.332 --> 00:01:53.506 OK. 00:01:53.530 --> 00:01:55.664 So let me give this a quick zip. 00:01:56.180 --> 00:01:59.657 And then we'll set these to the side and let these simmer for a minute. 00:01:59.681 --> 00:02:00.831 OK. NOTE Paragraph 00:02:03.506 --> 00:02:05.085 If DNA is the blueprint of life, 00:02:05.109 --> 00:02:07.985 enzymes are the laborers that carry out its instructions. 00:02:08.009 --> 00:02:10.055 An enzyme is a protein that's a catalyst, 00:02:10.079 --> 00:02:12.898 it speeds up or accelerates a chemical reaction, 00:02:12.922 --> 00:02:16.398 just as the chymosin over here is accelerating the curdling of the milk. 00:02:16.914 --> 00:02:18.669 But it's not just about cheese. 00:02:18.693 --> 00:02:22.010 While enzymes do play an important role in the foods that we eat, 00:02:22.034 --> 00:02:25.478 they also are involved in everything from the health of an infant 00:02:25.502 --> 00:02:27.812 to attacking the biggest environmental challenges 00:02:27.836 --> 00:02:28.986 we have today. NOTE Paragraph 00:02:29.720 --> 00:02:33.093 The basic building blocks of enzymes are called amino acids. 00:02:33.482 --> 00:02:35.054 There are 20 common amino acids, 00:02:35.078 --> 00:02:38.435 and we typically designate them with single-letter abbreviations, 00:02:38.459 --> 00:02:40.887 so it's really an alphabet of amino acids. 00:02:41.236 --> 00:02:43.776 In an enzyme, these amino acids are strung together, 00:02:43.800 --> 00:02:45.239 like pearls on a necklace. 00:02:45.263 --> 00:02:47.815 And it's really the identity of the amino acids, 00:02:47.839 --> 00:02:49.525 which letters are in that necklace, 00:02:49.549 --> 00:02:51.819 and in what order they are, what they spell out, 00:02:51.843 --> 00:02:55.926 that gives an enzyme its unique properties and differentiates it from other enzymes. 00:02:55.950 --> 00:02:58.266 Now, this string of amino acids, 00:02:58.290 --> 00:02:59.456 this necklace, 00:02:59.480 --> 00:03:01.356 folds up into a higher-order structure. 00:03:01.380 --> 00:03:03.688 And if you were to zoom in at the molecular level 00:03:03.712 --> 00:03:06.908 and take a look at chymosin, which is the enzyme working over here, 00:03:06.932 --> 00:03:08.545 you would see it looks like this. 00:03:08.569 --> 00:03:11.680 It's all these strands and loops and helices and twists and turns, 00:03:11.704 --> 00:03:14.612 and it has to be in just this conformation to work properly. NOTE Paragraph 00:03:15.038 --> 00:03:17.768 Nowadays, we can make enzymes in microbes, 00:03:17.792 --> 00:03:20.627 and that can be like a bacteria or a yeast, for example. 00:03:20.982 --> 00:03:23.411 And the way we do this is we get a piece of DNA 00:03:23.435 --> 00:03:25.800 that codes for an enzyme that we're interested in, 00:03:25.824 --> 00:03:27.387 we insert that into the microbe, 00:03:27.411 --> 00:03:30.871 and we let the microbe use its own machinery, its own wherewithal, 00:03:30.895 --> 00:03:33.029 to produce that enzyme for us. 00:03:33.053 --> 00:03:36.460 So if you wanted chymosin, you wouldn't need a calf, nowadays -- 00:03:36.484 --> 00:03:38.198 you could get this from a microbe. 00:03:38.222 --> 00:03:39.761 And what's even cooler, I think, 00:03:39.785 --> 00:03:42.277 is we can now dial in completely custom DNA sequences 00:03:42.301 --> 00:03:43.888 to make whatever enzymes we want, 00:03:43.912 --> 00:03:45.732 stuff that's not out there in nature. 00:03:45.756 --> 00:03:47.608 And, to me, what's really the fun part 00:03:47.632 --> 00:03:50.283 is trying to design an enzyme for a new application, 00:03:50.307 --> 00:03:52.617 arranging the atoms just so. NOTE Paragraph 00:03:53.450 --> 00:03:57.570 The act of taking an enzyme from nature and playing with those amino acids, 00:03:57.594 --> 00:03:59.006 tinkering with those letters, 00:03:59.030 --> 00:04:01.371 putting some letters in, taking some letters out, 00:04:01.395 --> 00:04:03.140 maybe rearranging them a little bit, 00:04:03.164 --> 00:04:04.855 is a little bit like finding a book 00:04:04.879 --> 00:04:07.997 and editing a few chapters or changing the ending. 00:04:08.720 --> 00:04:10.696 In 2018, the Nobel prize in chemistry 00:04:10.720 --> 00:04:12.911 was given for the development of this approach, 00:04:12.935 --> 00:04:15.030 which is known as directed evolution. NOTE Paragraph 00:04:15.966 --> 00:04:19.799 Nowadays, we can harness the powers of directed evolution 00:04:19.823 --> 00:04:21.910 to design enzymes for custom purposes, 00:04:21.934 --> 00:04:26.887 and one of these is designing enzymes for doing applications in new areas, 00:04:26.911 --> 00:04:28.069 like laundry. 00:04:28.093 --> 00:04:29.592 So just as enzymes in your body 00:04:29.616 --> 00:04:32.236 can help you to break down the food that you eat, 00:04:32.260 --> 00:04:33.856 enzymes in your laundry detergent 00:04:33.880 --> 00:04:37.109 can help you to break down the stains on your clothes. 00:04:37.515 --> 00:04:40.125 It turns out that about 90 percent of the energy 00:04:40.149 --> 00:04:41.626 that goes into doing the wash 00:04:41.650 --> 00:04:42.800 is from water heating. 00:04:43.165 --> 00:04:44.591 And that's for good reason -- 00:04:44.615 --> 00:04:46.947 the warmer water helps to get your clothes clean. 00:04:46.971 --> 00:04:49.998 But what if you were able to do the wash in cold water instead? 00:04:50.022 --> 00:04:51.768 You certainly would save some money, 00:04:51.792 --> 00:04:52.967 and in addition to that, 00:04:52.991 --> 00:04:55.720 according to some calculations done by Procter and Gamble, 00:04:55.744 --> 00:04:58.831 if all households in the US were to do the laundry in cold water, 00:04:58.855 --> 00:05:03.870 we would save the emissions of 32 metric tons of CO2 each year. 00:05:03.894 --> 00:05:05.077 That's a lot, 00:05:05.101 --> 00:05:06.417 that's about the equivalent 00:05:06.441 --> 00:05:09.616 of the carbon dioxide emitted by 6.3 million cars. NOTE Paragraph 00:05:09.640 --> 00:05:11.996 So, how would we go about designing an enzyme 00:05:12.020 --> 00:05:13.338 to realize these changes? 00:05:13.362 --> 00:05:16.123 Enzymes didn't evolve to clean dirty laundry, 00:05:16.147 --> 00:05:17.747 much less in cold water. 00:05:18.282 --> 00:05:21.347 But we can go to nature, and we can find a starting point. 00:05:21.371 --> 00:05:23.982 We can find an enzyme that has some starting activity, 00:05:24.006 --> 00:05:25.687 some clay that we can work with. 00:05:25.711 --> 00:05:28.807 So this is an example of such an enzyme, right here on the screen. 00:05:28.831 --> 00:05:31.688 And we can start playing with those amino acids, as I said, 00:05:31.712 --> 00:05:34.149 putting some letters in, taking some letters out, 00:05:34.173 --> 00:05:35.340 rearranging those. 00:05:35.364 --> 00:05:38.434 And in doing so, we can generate thousands of enzymes. 00:05:38.458 --> 00:05:40.966 And we can take those enzymes, 00:05:40.990 --> 00:05:43.566 and we can test them in little plates like this. NOTE Paragraph 00:05:44.339 --> 00:05:47.220 So this plate that I'm holding in my hands 00:05:47.244 --> 00:05:48.855 contains 96 wells, 00:05:48.879 --> 00:05:52.966 and in each well is a piece of fabric with a stain on it. 00:05:52.990 --> 00:05:55.331 And we can measure how well each of these enzymes 00:05:55.355 --> 00:05:58.014 are able to remove the stains from the pieces of fabric, 00:05:58.038 --> 00:06:00.060 and in that way see how well it's working. 00:06:00.084 --> 00:06:01.807 And we can do this using robotics, 00:06:01.831 --> 00:06:04.345 like you'll see in just a second on the screen. NOTE Paragraph 00:06:07.427 --> 00:06:09.744 OK, so we do this, and it turns out 00:06:09.768 --> 00:06:12.220 that some of the enzymes are sort of in the ballpark 00:06:12.244 --> 00:06:13.434 of the starting enzyme. 00:06:13.458 --> 00:06:15.149 That's nothing to write home about. 00:06:15.173 --> 00:06:17.561 Some are worse, so we get rid of those. 00:06:17.585 --> 00:06:18.910 And then some are better. 00:06:18.934 --> 00:06:21.569 Those improved ones become our version 1.0s. 00:06:21.593 --> 00:06:24.033 Those are the enzymes that we want to carry forward, 00:06:24.037 --> 00:06:26.133 and we can repeat this cycle again and again. 00:06:26.157 --> 00:06:29.936 And it's the repetition of this cycle that lets us come up with a new enzyme, 00:06:29.960 --> 00:06:31.782 something that can do what we want. 00:06:31.806 --> 00:06:33.394 And after several cycles of this, 00:06:33.418 --> 00:06:35.068 we did come up with something new. 00:06:35.092 --> 00:06:38.632 So you can go to the supermarket today, and you can buy a laundry detergent 00:06:38.656 --> 00:06:42.553 that lets you do the wash in cold water because of enzymes like this here. 00:06:42.577 --> 00:06:45.037 And I want to show you how this one works too. NOTE Paragraph 00:06:45.061 --> 00:06:47.761 So I've got two more tubes here, 00:06:47.785 --> 00:06:50.185 and these are both milk again. 00:06:50.518 --> 00:06:51.669 And let me show you, 00:06:51.693 --> 00:06:54.010 I've got one that I'm going to add this enzyme to 00:06:54.034 --> 00:06:56.343 and one that I'm going to add some water to. 00:06:56.367 --> 00:06:57.519 And that's the control, 00:06:57.543 --> 00:06:59.371 so nothing should happen in that tube. 00:06:59.395 --> 00:07:02.617 You might find it curious that I'm doing this with milk. 00:07:02.641 --> 00:07:04.283 But the reason that I'm doing this 00:07:04.307 --> 00:07:07.196 is because milk is just loaded with proteins, 00:07:07.220 --> 00:07:10.939 and it's very easy to see this enzyme working in a protein solution, 00:07:10.963 --> 00:07:13.601 because it's a master protein chopper, 00:07:13.625 --> 00:07:14.775 that's its job. NOTE Paragraph 00:07:15.133 --> 00:07:16.933 So let me get this in here. 00:07:18.323 --> 00:07:22.307 And you know, as I said, it's a master protein chopper 00:07:22.331 --> 00:07:26.243 and what you can do is you can extrapolate what it's doing in this milk 00:07:26.267 --> 00:07:28.283 to what it would be doing in your laundry. 00:07:28.307 --> 00:07:31.286 So this is kind of a way to visualize what would be happening. 00:07:31.310 --> 00:07:33.044 OK, so those both went in. 00:07:34.081 --> 00:07:38.168 And I'm going to give this a quick zip as well. 00:07:43.017 --> 00:07:46.787 OK, so we'll let these sit over here with the chymosin sample, 00:07:46.811 --> 00:07:49.192 so I'm going to come back to those toward the end. NOTE Paragraph 00:07:51.152 --> 00:07:54.085 Well, what's on the horizon for enzyme design? 00:07:54.109 --> 00:07:55.789 Certainly, it will get it faster -- 00:07:55.813 --> 00:07:57.924 there are now approaches for evolving enzymes 00:07:57.948 --> 00:08:00.440 that allow researchers to go through far more samples 00:08:00.464 --> 00:08:02.084 than I just showed you. 00:08:02.108 --> 00:08:04.494 And in addition to tinkering with natural enzymes, 00:08:04.518 --> 00:08:05.950 like we've been talking about, 00:08:05.974 --> 00:08:08.918 some scientists are now trying to design enzymes from scratch, 00:08:08.942 --> 00:08:12.682 using machine learning, an approach from artificial intelligence, 00:08:12.706 --> 00:08:14.664 to inform their enzyme designs. 00:08:14.688 --> 00:08:18.791 Still others are adding unnatural amino acids to the mix. 00:08:18.815 --> 00:08:21.030 We talked about the 20 natural amino acids, 00:08:21.054 --> 00:08:22.637 the common amino acids, before -- 00:08:22.661 --> 00:08:24.416 they're adding unnatural amino acids 00:08:24.440 --> 00:08:28.050 to make enzymes with properties unlike those that could be found in nature. 00:08:28.074 --> 00:08:29.728 That's a pretty neat area. NOTE Paragraph 00:08:30.211 --> 00:08:34.848 How will designed enzymes affect you in years to come? 00:08:34.872 --> 00:08:36.872 Well, I want to focus on two areas: 00:08:36.896 --> 00:08:39.096 human health and the environment. 00:08:40.142 --> 00:08:41.563 Some pharmaceutical companies 00:08:41.587 --> 00:08:44.933 now have teams that are dedicated to designing enzymes 00:08:44.957 --> 00:08:48.825 to make drugs more efficiently and with fewer toxic catalysts. 00:08:48.849 --> 00:08:50.445 For example, Januvia, 00:08:50.469 --> 00:08:52.707 which is a medication to treat type 2 diabetes, 00:08:52.731 --> 00:08:54.262 is made partially with enzymes. 00:08:54.286 --> 00:08:57.630 The number of drugs made with enzymes is sure to grow in the future. NOTE Paragraph 00:08:58.536 --> 00:08:59.694 In another area, 00:08:59.718 --> 00:09:01.004 there are certain disorders 00:09:01.028 --> 00:09:04.147 in which a single enzyme in a person's body doesn't work properly. 00:09:04.171 --> 00:09:06.393 An example of this is called phenylketonuria, 00:09:06.417 --> 00:09:07.631 or PKU for short. 00:09:08.180 --> 00:09:12.303 People with PKU are unable to properly metabolize or digest phenylalanine, 00:09:12.327 --> 00:09:15.961 which is one of the 20 common amino acids that we've been talking about. 00:09:15.985 --> 00:09:19.802 The consequence of ingesting phenylalanine for people with PKU 00:09:19.826 --> 00:09:24.357 is that they are subject to permanent intellectual disabilities, 00:09:24.381 --> 00:09:26.228 so it's a scary thing to have. 00:09:26.252 --> 00:09:28.046 Now, those of you with kids -- 00:09:28.070 --> 00:09:30.617 do you guys have kids, here, which ones have kids? 00:09:30.641 --> 00:09:31.799 A lot of you. 00:09:31.823 --> 00:09:33.609 So may be familiar with PKUs, 00:09:33.633 --> 00:09:38.553 because all infants in the US are required to be tested for PKU. 00:09:38.577 --> 00:09:41.941 I remember when Anthony, my son, had his heel pricked to test for it. 00:09:42.639 --> 00:09:45.219 The big challenge with this is: What do you eat? 00:09:45.243 --> 00:09:48.743 Phenylalanine is in so many foods, it's incredibly hard to avoid. 00:09:48.767 --> 00:09:51.688 Now, Anthony has a nut allergy, and I thought that was tough, 00:09:51.712 --> 00:09:54.172 but PKU's on another level of toughness. 00:09:54.196 --> 00:09:57.323 However, new enzymes may soon enable PKU patients 00:09:57.347 --> 00:09:59.141 to eat whatever they want. 00:09:59.165 --> 00:10:03.355 Recently, the FDA approved an enzyme designed to treat PKU. 00:10:03.379 --> 00:10:05.006 This is big news for patients, 00:10:05.030 --> 00:10:06.522 and it's actually very big news 00:10:06.546 --> 00:10:09.339 for the field of enzyme-replacement therapy more generally, 00:10:09.363 --> 00:10:13.275 because there are other targets out there where this would be a good approach. NOTE Paragraph 00:10:14.726 --> 00:10:16.544 So that was a little bit about health. 00:10:16.568 --> 00:10:18.726 Now I'm going to move to the environment. 00:10:19.155 --> 00:10:21.845 When I read about the Great Pacific Garbage Patch -- 00:10:21.869 --> 00:10:25.117 by the way, that's, like, this huge island of plastic, 00:10:25.141 --> 00:10:27.410 somewhere between California and Hawaii -- 00:10:27.434 --> 00:10:30.682 and about microplastics pretty much everywhere, 00:10:30.706 --> 00:10:31.872 it's upsetting. 00:10:31.896 --> 00:10:33.918 Plastics aren't going away anytime soon. 00:10:33.942 --> 00:10:36.474 But enzymes may help us in this area as well. 00:10:36.498 --> 00:10:40.363 Recently, bacteria producing plastic-degrading enzymes were discovered. 00:10:40.387 --> 00:10:43.022 Efforts are already underway to design improved versions 00:10:43.046 --> 00:10:44.196 of these enzymes. 00:10:44.585 --> 00:10:47.450 At the same time, there are enzymes that have been discovered 00:10:47.474 --> 00:10:48.839 and that are being optimized 00:10:48.863 --> 00:10:51.878 to make non-petroleum-derived biodegradable plastics. NOTE Paragraph 00:10:53.171 --> 00:10:56.845 Enzymes may also offer some help in capturing greenhouse gases, 00:10:56.869 --> 00:11:00.512 such as carbon dioxide, methane and nitrous oxide. 00:11:00.536 --> 00:11:02.948 Now, there is no doubt, these are major challenges, 00:11:02.972 --> 00:11:04.815 and none of them are easy. 00:11:04.839 --> 00:11:08.990 But our ability to harness enzymes may help us to tackle these in the future, 00:11:09.014 --> 00:11:11.530 so I think that's another area to be looking forward. NOTE Paragraph 00:11:11.554 --> 00:11:13.561 So now I'm going to get back to the demo -- 00:11:13.585 --> 00:11:14.799 this is the fun part. 00:11:14.823 --> 00:11:18.236 So we'll start with the chymosin samples. 00:11:19.863 --> 00:11:21.593 So let me get these over here. 00:11:21.617 --> 00:11:23.022 And you can see here, 00:11:23.046 --> 00:11:24.951 this is the one that got the water, 00:11:24.975 --> 00:11:26.815 so nothing should happen to this milk. 00:11:26.839 --> 00:11:28.990 This is the one that got the chymosin. 00:11:29.014 --> 00:11:31.641 So you can see that it totally clarified up here. 00:11:31.665 --> 00:11:33.840 There's all this curdled stuff, that's cheese, 00:11:33.864 --> 00:11:36.147 we just made cheese in the last few minutes. 00:11:36.171 --> 00:11:37.324 So this is that reaction 00:11:37.348 --> 00:11:40.664 that people have been doing for thousands and thousands of years. 00:11:40.688 --> 00:11:43.851 I'm thinking about doing this one at our next Kids to Work Day demo 00:11:43.875 --> 00:11:45.943 but they can be a tough crowd, so we'll see. NOTE Paragraph 00:11:45.967 --> 00:11:47.006 (Laughter) NOTE Paragraph 00:11:47.030 --> 00:11:50.339 And then the other one I want to look at is this one. 00:11:50.363 --> 00:11:54.323 So this is the enzyme for doing your laundry. 00:11:54.347 --> 00:11:57.855 And you can see that it's different than the one that has the water added. 00:11:57.879 --> 00:11:59.095 It's kind of clarifying, 00:11:59.119 --> 00:12:01.934 and that's just what you want for an enzyme in your laundry, 00:12:01.958 --> 00:12:04.141 because you want to be able to have an enzyme 00:12:04.165 --> 00:12:07.117 that can be a protein chowhound, just chew them up, 00:12:07.141 --> 00:12:10.397 because you're going to get different protein stains on your clothes, 00:12:10.421 --> 00:12:12.734 like chocolate milk or grass stains, for example, 00:12:12.758 --> 00:12:15.552 and something like this is going to help you get them off. 00:12:15.576 --> 00:12:18.165 And this is also going to be the thing that allows you 00:12:18.189 --> 00:12:20.961 to do the wash in cold water, reduce your carbon footprint 00:12:20.985 --> 00:12:22.244 and save you some money. NOTE Paragraph 00:12:24.713 --> 00:12:26.308 Well, we've come a long way, 00:12:26.332 --> 00:12:31.078 considering this 7,000-year journey from enzymes in cheese making 00:12:31.102 --> 00:12:33.355 to the present day and enzyme design. 00:12:33.689 --> 00:12:35.570 We're really at a creative crossroads, 00:12:35.594 --> 00:12:39.856 and with enzymes, can edit what nature wrote 00:12:39.880 --> 00:12:42.413 or write our own stories with amino acids. NOTE Paragraph 00:12:42.880 --> 00:12:46.041 So next time you're outdoors on a muggy night 00:12:46.065 --> 00:12:47.478 and you see a firefly, 00:12:47.502 --> 00:12:49.136 I hope you think of enzymes. 00:12:49.160 --> 00:12:51.533 They're doing amazing things for us today. 00:12:51.557 --> 00:12:53.160 And by design, 00:12:53.184 --> 00:12:55.714 they could be doing even more amazing things tomorrow. NOTE Paragraph 00:12:55.738 --> 00:12:56.889 Thank you. NOTE Paragraph 00:12:56.913 --> 00:12:58.944 (Applause)