A5VIX0 AF NFT

DNA mismatch repair protein MutL

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidmkc2dyeewg5lo6bcw4nr7zhkjew47mmumya3duqpy3g2drtr6xe/metadata.json
IPFS of structure file: 
bafybeih64oon7jdd25iea6vtin4t7wcitp2obto2s5jpaqojxvl7xtmo44/AF-A5VIX0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xe9f3e03f1c0D674c8ca581614bB1f27977239e4c
First NFT owner address (bech32): 
genesis1a8e7q0cup4n5er99s9s5hv0j09mj88jvkp89c3
Current NFT ID #253729 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
253729
Accession (UniProt):
A5VIX0
Name::
DNA mismatch repair protein MutL
Experimental Method:
Predicted structure
Sequence source:
Limosilactobacillus reuteri (strain DSM 20016)

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 A5VIX0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A5VIX0|MUTL_LIMRD DNA mismatch repair protein MutL OS=Limosilactobacillus reuteri (strain DSM 20016) OX=557436 GN=mutL PE=3 SV=1 MGKIHELDNILANQIAAGEVIERPASIVKELVENSLDAHSHRVDIIVENSGLDSVRVIDDGDGIAAEDISLAFHRHATSKINSRHDLFKVQTMGFRGEALPSIASVADVTLTTAQAGQEEGTMIHLRGGKELVVKPAGARQGTDIKVTDLFFNTPARLKYLKSPQTELTRITDIINRLALANPAVAFSFTHNGRELFRSAGNNNLQQVVAAIYGVQAGRKMLEISGADDDFKVSGFVSLPELTRASRQYITITINHRYIRNFELTKAIIQGYESKLMVGRYPIAVINIDLDPVLVDVNVHPAKREVRLSKEQQLIKLIAETIRQRIAVENLIPDVDADQFIPNDDEVADLDRRLKEASPVYHAAPISAVPATEKAATEIPTPEADNPAHADALDSEIPAPIVIHHLEDLNTPAMQKFDERYQNEGEVTPFSAPVPTMTKKPVKPANIELDVHDKQDQQQNRFPDLQYIGQLQGTFLLAQAGDGLYIVDQHAAQERINYEYYRQKIGEVSADQQNFLVPLVLNYSTVDAMTINQHLDTLAAVGLELESFGQNSFILRSHPTWFKEGQEEDTAEEMIDWLIKNGKLTVKEFRMKTAIMMSCKRAIKANHHLDEREAKALLKRLPQCENPFNCPHGRPVTVHFNDQDLEKMFKRIQDSHTPYADDFDDHEF