C5CF28 AF NFT

DNA mismatch repair protein MutL

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiexxmyaglp67rvbyv2qwsuiqi6fiuzxedbk2pibu4o34sfsth33ze/metadata.json
IPFS of structure file: 
bafybeicdijtt3kxuo2anqiyezehenev3s3ocmg7odfzq6qado725s7ae6m/AF-C5CF28-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8a483616fC01CEF65b11e4ff5a207355be85D000
First NFT owner address (bech32): 
genesis13fyrv9huq880vkc3unl45grn2klgt5qq4xtdpu
Current NFT ID #253706 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
253706
Accession (UniProt):
C5CF28
Name::
DNA mismatch repair protein MutL
Experimental Method:
Predicted structure
Sequence source:
Kosmotoga olearia (strain ATCC BAA-1733 / DSM 21960 / TBF 19.5.1)

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT C5CF28 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C5CF28|MUTL_KOSOT DNA mismatch repair protein MutL OS=Kosmotoga olearia (strain ATCC BAA-1733 / DSM 21960 / TBF 19.5.1) OX=521045 GN=mutL PE=3 SV=1 MKIHELPQEVILKIAAGEVVTGCFSVVKELVENALDAEATTVEVEIKAGGKEYIRVSDNGIGMLPEELKMAIKPHTTSKIQCIEDLERILTYGFRGEALSTISSVSRMRISSMPDNADLGLTIEISGGKIVREKSYIGPKGTTVEVYDLLFNTPARRKFLKSQRVEGRMVTEIVQRFILAIPDAGFKYIRDGELIYDLTPAERILERIPVVFPELSTTDLLEVKEETSGISITGYITFPERTRFNRLGEMVFVNGRYVRQPELNYAIEKGYGESLEKGRFPFAILFISVNPEMIDVNIHPQKLEVRFSNPSLVFDAIKRAVRNTLRTSGTSILRIEKRPFPGSSTNYSGIQQDTKKQESDNPEKARGYGTHLRETHWEQRDHFEKRKVPLHYQPDNELLLNIERTASRRFEKTEAKETGEPRLFGVFGERYILAETKDGLLIVDQHAAHERLIYEKLKKAAKIQSQKLLSPIRLTLEDSRKSLLREKKNDVEKLGFQISFEGDRIFLTGIPSILSESVAVNALNEVLDELRLEGLEEPEKIFDHLLSTLACKSAIKTGDRLSESEAKELLEKLLEEEILFCPHGRPVSMLIRFKDLDRHFSR