1 00:00:12,619 --> 00:00:09,680 so um good morning everyone that was a 2 00:00:16,339 --> 00:00:12,629 great introduction by dr. waters so we 3 00:00:18,109 --> 00:00:16,349 think my job much easier okay so my name 4 00:00:20,659 --> 00:00:18,119 is Nicola watch I am a bioinformatics 5 00:00:23,269 --> 00:00:20,669 PhD student at the Georgia Institute of 6 00:00:26,120 --> 00:00:23,279 Technology biome format assist is 7 00:00:29,870 --> 00:00:26,130 someone who looked at biology using 8 00:00:32,299 --> 00:00:29,880 computers in statistics so my advisor is 9 00:00:35,979 --> 00:00:32,309 dr. lauren williams and my presentation 10 00:00:39,080 --> 00:00:35,989 today is on evolution of protein folding 11 00:00:42,170 --> 00:00:39,090 so to begin with like dr. waters is 12 00:00:44,540 --> 00:00:42,180 saying the ribosome takes nucleic acid 13 00:00:47,960 --> 00:00:44,550 which encodes information and turns it 14 00:00:50,120 --> 00:00:47,970 into protein which is function so yep 15 00:00:52,790 --> 00:00:50,130 that's the ribosome right there and it's 16 00:00:54,620 --> 00:00:52,800 taking deal well the RNA that comes from 17 00:00:58,580 --> 00:00:54,630 DNA and it turns it into protein and the 18 00:01:01,220 --> 00:00:58,590 ribosome itself is a large back row 19 00:01:04,729 --> 00:01:01,230 molecular structure of RNA and protein 20 00:01:06,469 --> 00:01:04,739 and it does its function so when you 21 00:01:08,870 --> 00:01:06,479 look at these phylogenetic trees that 22 00:01:11,029 --> 00:01:08,880 relate bacteria to archaea and 23 00:01:14,330 --> 00:01:11,039 eukaryotes and you look at like all 24 00:01:17,270 --> 00:01:14,340 animals are distantly related to fungi 25 00:01:20,209 --> 00:01:17,280 and plants that's by looking at the 26 00:01:23,569 --> 00:01:20,219 sequence of the ribosome on the DNA so 27 00:01:25,699 --> 00:01:23,579 the ribosome encodes species 28 00:01:28,249 --> 00:01:25,709 relationship and which is why we kind of 29 00:01:33,289 --> 00:01:28,259 say that the world started with the RNA 30 00:01:35,239 --> 00:01:33,299 RNA world hypothesis when you take the 31 00:01:36,620 --> 00:01:35,249 ribosome and you look at the size of it 32 00:01:38,959 --> 00:01:36,630 and you look at the size of it within 33 00:01:41,569 --> 00:01:38,969 the organisms on the tree of life you 34 00:01:43,309 --> 00:01:41,579 can see that prokaryotes have really 35 00:01:45,080 --> 00:01:43,319 small ribosomes that i have here 36 00:01:48,139 --> 00:01:45,090 represented by released small little 37 00:01:52,339 --> 00:01:48,149 circles and that simple york eukaryotes 38 00:01:54,679 --> 00:01:52,349 have larger ribosomes metazoans animals 39 00:01:57,169 --> 00:01:54,689 have even larger and then mammalian 40 00:02:00,620 --> 00:01:57,179 ribosomes are the largest found in 41 00:02:05,239 --> 00:02:00,630 nature and which very interesting is 42 00:02:08,300 --> 00:02:05,249 that these mammalian ribosomes contain 43 00:02:10,130 --> 00:02:08,310 the ribosomes of these animals and the 44 00:02:12,410 --> 00:02:10,140 ribosomes these animals contain within 45 00:02:14,539 --> 00:02:12,420 them the ribosomes of these yeast or 46 00:02:15,970 --> 00:02:14,549 simple eukaryotes and these simple 47 00:02:18,760 --> 00:02:15,980 eukaryotes the ribosomes of those 48 00:02:23,050 --> 00:02:18,770 contain the ribosomes 49 00:02:25,660 --> 00:02:23,060 prokaryotes and so when you look at that 50 00:02:28,330 --> 00:02:25,670 of the ribosomes of extent life and look 51 00:02:31,360 --> 00:02:28,340 at the way that they've evolved since 52 00:02:34,590 --> 00:02:31,370 the last Universal common ancestor 3.53 53 00:02:37,840 --> 00:02:34,600 point Oh 3.5 or 3.8 billion years ago 54 00:02:40,780 --> 00:02:37,850 and we just use the same mechanisms that 55 00:02:45,580 --> 00:02:40,790 we hypothesize that they've been growing 56 00:02:47,080 --> 00:02:45,590 since since then well yeah so okay Lucas 57 00:02:52,270 --> 00:02:47,090 here extend Webster here sorry about 58 00:02:53,980 --> 00:02:52,280 that we can see you can see exact same 59 00:02:55,450 --> 00:02:53,990 mechanisms that the ribosome that 60 00:02:58,450 --> 00:02:55,460 relates ribosome of all species in 61 00:03:00,130 --> 00:02:58,460 extant life today we'll just reuse that 62 00:03:02,590 --> 00:03:00,140 we can just deconstruct the ribosome and 63 00:03:04,420 --> 00:03:02,600 go back in time and see where life 64 00:03:06,850 --> 00:03:04,430 started with just the very first piece 65 00:03:09,220 --> 00:03:06,860 of RNA and these very first pieces of 66 00:03:12,220 --> 00:03:09,230 RNA are the catalytic centers I the 67 00:03:15,190 --> 00:03:12,230 ribosome and so that's where proteins 68 00:03:19,420 --> 00:03:15,200 are formed right at these little pieces 69 00:03:22,600 --> 00:03:19,430 of RNA and so but we hypothesize is that 70 00:03:24,760 --> 00:03:22,610 the ribosome very early on in the 71 00:03:27,760 --> 00:03:24,770 beginning of life was making small 72 00:03:30,610 --> 00:03:27,770 little pieces of proteins and as it as 73 00:03:32,770 --> 00:03:30,620 more pieces of RNA kind of stuck onto 74 00:03:36,490 --> 00:03:32,780 the ribosome its ability to synthesize 75 00:03:38,140 --> 00:03:36,500 proteins of increasing complexity just 76 00:03:40,120 --> 00:03:38,150 started happening and so we eventually 77 00:03:43,480 --> 00:03:40,130 ended up with a very functional ribosome 78 00:03:46,470 --> 00:03:43,490 back in code that can make very nice and 79 00:03:49,420 --> 00:03:46,480 complex proteins needed for life today 80 00:03:51,130 --> 00:03:49,430 so I've been talking about the RNA of 81 00:03:53,620 --> 00:03:51,140 the ribosome so far and I want to talk 82 00:03:55,210 --> 00:03:53,630 about the proteins of the ribosome so 83 00:03:58,900 --> 00:03:55,220 when you look at the prokaryotic 84 00:04:00,940 --> 00:03:58,910 ribosomes wheat there are 29 ribosomal 85 00:04:02,230 --> 00:04:00,950 proteins in just the large subunit i'll 86 00:04:04,240 --> 00:04:02,240 be talking about just a large subunit 87 00:04:07,060 --> 00:04:04,250 today there's off this also applies to 88 00:04:08,620 --> 00:04:07,070 the small subunit so there's 29 are 89 00:04:10,870 --> 00:04:08,630 those little proteins of the e.coli 90 00:04:13,870 --> 00:04:10,880 ribosome and what's very interesting 91 00:04:16,240 --> 00:04:13,880 about these proteins is that a lot of 92 00:04:19,000 --> 00:04:16,250 them have these globular like spherical 93 00:04:21,190 --> 00:04:19,010 domains that sit on the exterior of the 94 00:04:24,430 --> 00:04:21,200 ribosome and those look like proteins 95 00:04:26,290 --> 00:04:24,440 that we find in life today but they have 96 00:04:28,510 --> 00:04:26,300 these really weird segments that we just 97 00:04:30,850 --> 00:04:28,520 don't really find anywhere else these 98 00:04:32,070 --> 00:04:30,860 tail segments and they penetrate deep 99 00:04:35,369 --> 00:04:32,080 down into the 100 00:04:37,679 --> 00:04:35,379 core the ribosome close to where peptide 101 00:04:39,360 --> 00:04:37,689 bonds are actually made where proteins 102 00:04:43,740 --> 00:04:39,370 are actually synthesized by the ribosome 103 00:04:46,770 --> 00:04:43,750 and so looking at these proteins in what 104 00:04:48,689 --> 00:04:46,780 they contact of the ribosomal RNA so a 105 00:04:51,059 --> 00:04:48,699 very beginning you saw that I had one 106 00:04:53,790 --> 00:04:51,069 piece of RNA and then as was growing 107 00:04:58,020 --> 00:04:53,800 throughout the evolution of life we can 108 00:05:00,420 --> 00:04:58,030 see that more RNA was conglomerating 109 00:05:04,260 --> 00:05:00,430 onto it and if we look at the proteins 110 00:05:06,860 --> 00:05:04,270 of the ribosome and which pieces of RNA 111 00:05:10,589 --> 00:05:06,870 they contact we can cut we can see a 112 00:05:12,540 --> 00:05:10,599 timeline of ribosomal evolution or in 113 00:05:13,920 --> 00:05:12,550 just run resume approaching evolution 114 00:05:15,959 --> 00:05:13,930 and just protein evolution for that 115 00:05:17,610 --> 00:05:15,969 matter so at the very beginning we only 116 00:05:20,790 --> 00:05:17,620 had small little peptides that we're 117 00:05:23,070 --> 00:05:20,800 sticking on there but as ribosome grew 118 00:05:25,559 --> 00:05:23,080 the proteins that could stick on to it 119 00:05:27,089 --> 00:05:25,569 we're growing as well and I'm going to 120 00:05:29,700 --> 00:05:27,099 look at the structure of these proteins 121 00:05:33,300 --> 00:05:29,710 and see how it's changed since the 122 00:05:36,930 --> 00:05:33,310 origin play okay so a lot of these 123 00:05:38,790 --> 00:05:36,940 proteins are very positively charged 124 00:05:40,709 --> 00:05:38,800 because RNA is very negatively charged 125 00:05:44,700 --> 00:05:40,719 so we see a lot of arginine and lysine 126 00:05:46,350 --> 00:05:44,710 and hypothesize that well we know that 127 00:05:48,659 --> 00:05:46,360 they kind just hold the RNA together 128 00:05:53,879 --> 00:05:48,669 they kind of just act as a glue so 129 00:05:56,399 --> 00:05:53,889 they're needed for the ribosome okay and 130 00:05:58,110 --> 00:05:56,409 then so my background is in biochemistry 131 00:06:01,200 --> 00:05:58,120 so I want to give you a brief background 132 00:06:03,659 --> 00:06:01,210 on what a popular plot that biochemistry 133 00:06:05,579 --> 00:06:03,669 is called the ramachandran plot and so 134 00:06:08,010 --> 00:06:05,589 biochemists really like proteins and 135 00:06:10,260 --> 00:06:08,020 light protein structure and so in 136 00:06:12,420 --> 00:06:10,270 proteins that we find today we see a lot 137 00:06:15,930 --> 00:06:12,430 of approach like looking at the angles 138 00:06:18,360 --> 00:06:15,940 that the amino acids in the protein form 139 00:06:20,670 --> 00:06:18,370 with each other they typically just the 140 00:06:22,170 --> 00:06:20,680 way they just fold into the protein we 141 00:06:24,689 --> 00:06:22,180 typically find them in these centers 142 00:06:26,550 --> 00:06:24,699 right here in the red and so we see this 143 00:06:29,159 --> 00:06:26,560 alpha helix which is very common in 144 00:06:31,969 --> 00:06:29,169 proteins today and that's usually just 145 00:06:33,869 --> 00:06:31,979 looking at the angles of those buns 146 00:06:36,180 --> 00:06:33,879 usually find them right in this red 147 00:06:37,769 --> 00:06:36,190 region and we also see a lot of beta 148 00:06:40,199 --> 00:06:37,779 sheets that's another common secondary 149 00:06:42,600 --> 00:06:40,209 structure of proteins and that usually 150 00:06:45,089 --> 00:06:42,610 falls within this red region and then 151 00:06:46,330 --> 00:06:45,099 all these like white area over here we 152 00:06:50,710 --> 00:06:46,340 don't find too many 153 00:06:52,090 --> 00:06:50,720 um amino acids in there but that's kind 154 00:06:53,860 --> 00:06:52,100 of unstructured they usually don't like 155 00:06:55,860 --> 00:06:53,870 hydrogen bond with each other you can't 156 00:07:00,450 --> 00:06:55,870 it's just don't really form any like 157 00:07:04,930 --> 00:07:00,460 functional catalytic parts typically 158 00:07:07,780 --> 00:07:04,940 okay so looking at the secondary 159 00:07:09,189 --> 00:07:07,790 structure of ribosomal proteins so in 160 00:07:10,870 --> 00:07:09,199 the very beginning you could see that I 161 00:07:15,070 --> 00:07:10,880 had this little peptide earlier on two 162 00:07:18,280 --> 00:07:15,080 slides ago that was like composed of I 163 00:07:20,890 --> 00:07:18,290 think 12 amino acids and approximately 164 00:07:25,420 --> 00:07:20,900 one third of them fell within these red 165 00:07:29,110 --> 00:07:25,430 regions then we look at when the next 166 00:07:30,580 --> 00:07:29,120 little phase of evolution a few more of 167 00:07:33,820 --> 00:07:30,590 the amino acids are starting to fall 168 00:07:37,150 --> 00:07:33,830 into these red regions and as we keep on 169 00:07:39,400 --> 00:07:37,160 going through we can see that more and 170 00:07:41,020 --> 00:07:39,410 more of these amino acids the bonds 171 00:07:45,279 --> 00:07:41,030 between them we're falling into these 172 00:07:47,290 --> 00:07:45,289 red regions so when the ribosomes 173 00:07:50,080 --> 00:07:47,300 started producing proteins they weren't 174 00:07:54,159 --> 00:07:50,090 really structured but as drivers ohm 175 00:07:56,680 --> 00:07:54,169 evolved so did its ability to synthesize 176 00:07:59,680 --> 00:07:56,690 proteins of increasing complexity and 177 00:08:01,960 --> 00:07:59,690 now they have these structures that we 178 00:08:03,969 --> 00:08:01,970 find in life and many of them not within 179 00:08:09,550 --> 00:08:03,979 the ribosome but these structures are 180 00:08:11,770 --> 00:08:09,560 often catalytic okay so what about like 181 00:08:15,370 --> 00:08:11,780 hydrogen bonds within the ribosomal 182 00:08:17,260 --> 00:08:15,380 proteins so I brought up earlier beta 183 00:08:19,629 --> 00:08:17,270 sheets and alpha helix ease and they 184 00:08:23,409 --> 00:08:19,639 have a lot of hydrogen bonds and so when 185 00:08:25,659 --> 00:08:23,419 I look at the the phases of ribosomal 186 00:08:27,909 --> 00:08:25,669 evolution from the origin of life until 187 00:08:29,920 --> 00:08:27,919 last Universal common as sensitive right 188 00:08:32,290 --> 00:08:29,930 over here we can see that the hydrogen 189 00:08:35,140 --> 00:08:32,300 bonds per residue are increasing so 190 00:08:37,240 --> 00:08:35,150 these proteins are just folding more and 191 00:08:40,000 --> 00:08:37,250 more compact and they're just looking 192 00:08:42,070 --> 00:08:40,010 more and more like proteins that we find 193 00:08:43,810 --> 00:08:42,080 an extent like today and then when we 194 00:08:46,660 --> 00:08:43,820 look at the surface area of them by just 195 00:08:48,370 --> 00:08:46,670 a computational method of just pretty 196 00:08:51,010 --> 00:08:48,380 much just rolling a ball around the 197 00:08:53,710 --> 00:08:51,020 ribosomal proteins we can see that their 198 00:08:55,720 --> 00:08:53,720 their surface area is going down and we 199 00:08:57,850 --> 00:08:55,730 just see that they're just folding more 200 00:08:58,809 --> 00:08:57,860 compactly and that they're just looking 201 00:09:02,889 --> 00:08:58,819 more in 202 00:09:05,799 --> 00:09:02,899 more like proteins we find today so I 203 00:09:08,529 --> 00:09:05,809 believe that is what I have for today so 204 00:09:10,809 --> 00:09:08,539 my name is watch my name is Nicholas 205 00:09:13,090 --> 00:09:10,819 kawatche and I'd like I working dr. 206 00:09:15,429 --> 00:09:13,100 Warren Williams lab and I really like to 207 00:09:18,969 --> 00:09:15,439 thank dr. Anton Petrov and dr. chadbourn 208 00:09:21,549 --> 00:09:18,979 yer who are having my mentors and I 209 00:09:23,769 --> 00:09:21,559 would just like to thank a grad calm in 210 00:09:37,329 --> 00:09:23,779 Georgia Tech and the IBB at Georgia Tech 211 00:09:39,489 --> 00:09:37,339 for providing my funding hi I was 212 00:09:42,129 --> 00:09:39,499 wondering what like you know what the 213 00:09:45,369 --> 00:09:42,139 minimum number of residues like a 214 00:09:47,049 --> 00:09:45,379 polypeptide or I guess a short protein 215 00:09:49,479 --> 00:09:47,059 if you define it that way would have to 216 00:09:51,909 --> 00:09:49,489 have to like start exhibiting some type 217 00:09:57,009 --> 00:09:51,919 of defined structure um there is 218 00:09:59,259 --> 00:09:57,019 recently a paper we're just through like 219 00:10:02,349 --> 00:09:59,269 just directed evolution i think it was i 220 00:10:04,869 --> 00:10:02,359 think was like 12 amino acids they could 221 00:10:08,649 --> 00:10:04,879 make a functional protein when there are 222 00:10:10,929 --> 00:10:08,659 about 20 amino acids found today in all 223 00:10:13,269 --> 00:10:10,939 of life and those 12 a lot of them i 224 00:10:14,919 --> 00:10:13,279 think almost all of them were actually 225 00:10:17,289 --> 00:10:14,929 the same amino acids found the 226 00:10:19,329 --> 00:10:17,299 miller-urey experiment which we 227 00:10:24,969 --> 00:10:19,339 hypothesize owe their very first amino 228 00:10:26,379 --> 00:10:24,979 acids of life I think you might have 229 00:10:28,329 --> 00:10:26,389 just answered my question but I was 230 00:10:30,249 --> 00:10:28,339 gonna ask how did you determine the 231 00:10:33,669 --> 00:10:30,259 sequence of proteins for your early 232 00:10:36,069 --> 00:10:33,679 proteins um well I was just looking at 233 00:10:38,979 --> 00:10:36,079 the crystal structures of available of 234 00:10:41,340 --> 00:10:38,989 the ribosome today so we have crystal 235 00:10:43,779 --> 00:10:41,350 structures of the e.coli ribosome yeast 236 00:10:47,049 --> 00:10:43,789 drosophila human in a few other species 237 00:10:49,389 --> 00:10:47,059 and I was just taking the sequences 238 00:11:00,650 --> 00:10:49,399 found within those proteins of those 239 00:11:04,889 --> 00:11:03,600 yeah thanks a great talk I find it 240 00:11:06,930 --> 00:11:04,899 interesting this idea that species 241 00:11:09,540 --> 00:11:06,940 complexity is related to the size of the 242 00:11:11,370 --> 00:11:09,550 ribosome is that possibly because we 243 00:11:13,410 --> 00:11:11,380 have a lack of data on ribosomes that 244 00:11:16,500 --> 00:11:13,420 are out there yet or is this not been 245 00:11:19,410 --> 00:11:16,510 shown across the board so far I mean for 246 00:11:20,790 --> 00:11:19,420 i'm looking at crystal structures and I 247 00:11:23,490 --> 00:11:20,800 mean there's just not that many of them 248 00:11:25,530 --> 00:11:23,500 available just yet I mean the very first 249 00:11:27,120 --> 00:11:25,540 one was like we crystallized or of his 250 00:11:29,850 --> 00:11:27,130 own like in the early 2000s so there's 251 00:11:32,340 --> 00:11:29,860 not that many of them but we can look at 252 00:11:34,680 --> 00:11:32,350 the genes of that encode for these 253 00:11:35,850 --> 00:11:34,690 ribosomes in species you know really 254 00:11:38,910 --> 00:11:35,860 easily we've been doing it for quite a 255 00:11:40,800 --> 00:11:38,920 while and so I that's the mile out 256 00:11:43,740 --> 00:11:40,810 knowledge i think these mammalian ones 257 00:11:45,569 --> 00:11:43,750 are the largest we've seen interesting 258 00:11:47,850 --> 00:11:45,579 here's the end up for a long time we 259 00:11:48,960 --> 00:11:47,860 thought that genome why's that we humans 260 00:11:50,280 --> 00:11:48,970 would be the best we'd have the most 261 00:11:51,960 --> 00:11:50,290 genes of anything and that's not the 262 00:11:54,690 --> 00:11:51,970 case and we've now found out that 263 00:11:56,040 --> 00:11:54,700 complexity in our little viewpoint of 264 00:11:57,900 --> 00:11:56,050 complexity isn't really related to 265 00:11:59,220 --> 00:11:57,910 genome size and so i was just wondering 266 00:12:02,670 --> 00:11:59,230 if that would be the case with ribosomes 267 00:12:04,620 --> 00:12:02,680 once we get more data as well yeah well 268 00:12:06,720 --> 00:12:04,630 what's interesting is that fly that 269 00:12:08,730 --> 00:12:06,730 ribosome work was based on a paper we 270 00:12:11,220 --> 00:12:08,740 had and we put it on someone pick it up 271 00:12:13,139 --> 00:12:11,230 on reddit and people were kind of 272 00:12:14,639 --> 00:12:13,149 getting like really like up in arms 273 00:12:17,220 --> 00:12:14,649 about like a big like discussions 274 00:12:18,840 --> 00:12:17,230 because we are just the biggest rivals 275 00:12:20,310 --> 00:12:18,850 own we've seen today is the human 276 00:12:21,870 --> 00:12:20,320 ribosome and then people we're just 277 00:12:23,880 --> 00:12:21,880 going off on like tangents about like 278 00:12:25,680 --> 00:12:23,890 why we're the most like the highest most 279 00:12:27,420 --> 00:12:25,690 dominant species because of that and 280 00:12:28,470 --> 00:12:27,430 just people were you know biologists are 281 00:12:34,639 --> 00:12:28,480 getting in there and getting mad and 282 00:12:41,220 --> 00:12:37,920 well so I've heard this idea before that 283 00:12:44,340 --> 00:12:41,230 you can see sort of the ribosomes of 284 00:12:46,230 --> 00:12:44,350 less complex species embedded in the 285 00:12:49,620 --> 00:12:46,240 ribosomes of more complex ones but 286 00:12:52,380 --> 00:12:49,630 obviously like you know if you take 287 00:12:53,910 --> 00:12:52,390 humans and like a fly for example those 288 00:12:56,370 --> 00:12:53,920 diverged in their evolution a really 289 00:12:58,800 --> 00:12:56,380 really long time ago so why would you 290 00:13:00,389 --> 00:12:58,810 necessarily find like a fly's ribosome 291 00:13:02,490 --> 00:13:00,399 embedded in there do you think that 292 00:13:05,130 --> 00:13:02,500 there's intrinsic sort of evolutionary 293 00:13:06,960 --> 00:13:05,140 bottlenecks that only the ribozyme can 294 00:13:08,249 --> 00:13:06,970 sort of get past and it has to evolve 295 00:13:10,439 --> 00:13:08,259 particular features 296 00:13:12,269 --> 00:13:10,449 or is it just oh you have to actually 297 00:13:14,669 --> 00:13:12,279 strip away some of these a lot evolved 298 00:13:16,530 --> 00:13:14,679 features to find like you know there's 299 00:13:19,979 --> 00:13:16,540 something on top of the fly ribosome 300 00:13:21,629 --> 00:13:19,989 that's not in the human one well I was 301 00:13:23,609 --> 00:13:21,639 looking at the structure and so like a 302 00:13:26,009 --> 00:13:23,619 lot of times like you can have like an 303 00:13:28,979 --> 00:13:26,019 80 base pair or you can have like or 304 00:13:32,369 --> 00:13:28,989 sorry ribosome au base pair or a GC base 305 00:13:34,049 --> 00:13:32,379 pair and like there's like differences 306 00:13:35,689 --> 00:13:34,059 in that but like we look at the 307 00:13:37,829 --> 00:13:35,699 structure of it it looks the same 308 00:13:39,269 --> 00:13:37,839 approximately but like those sequences 309 00:13:41,699 --> 00:13:39,279 might be different and there's like some 310 00:13:45,539 --> 00:13:41,709 parts that like are unique to different 311 00:13:47,069 --> 00:13:45,549 species so and plus I just like the RNA 312 00:13:49,619 --> 00:13:47,079 without like the protein like the 313 00:13:53,449 --> 00:13:49,629 proteins are very different between a a 314 00:13:56,400 --> 00:13:53,459 lot of organisms some homology 315 00:13:58,650 --> 00:13:56,410 okay well uh have people don't gather a 316 00:14:01,460 --> 00:13:58,660 metric measurements of ribozymes like 317 00:14:05,579 --> 00:14:01,470 measuring heat capacities and volumes 318 00:14:07,289 --> 00:14:05,589 hmm yeah yeah of course I think some all 319 00:14:09,779 --> 00:14:07,299 right IDC experiments that everything 320 00:14:13,859 --> 00:14:09,789 like that cool thanks i'm done with nam