A1R0M2 AF NFT

DNA mismatch repair protein MutS

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib4offqb7ifjteoezx2dhzh3dyecwbgas7kmdlldnmkzp3kykkfiu/metadata.json
IPFS of structure file: 
bafybeigschucg3m6v3wezxm2qovjwn5qtrgycktymiv7rel3xzj2xkgv4y/AF-A1R0M2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x613050B9B793A1B5E9D1eC027267638DE6DbC575
First NFT owner address (bech32): 
genesis1vyc9pwdhjwsmt6w3asp8yemr3hndh3t4a9vfdq
Current NFT ID #254187 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
254187
Accession (UniProt):
A1R0M2
Name::
DNA mismatch repair protein MutS
Experimental Method:
Predicted structure
Sequence source:
Borrelia turicatae (strain 91E135)

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 A1R0M2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A1R0M2|MUTS_BORT9 DNA mismatch repair protein MutS OS=Borrelia turicatae (strain 91E135) OX=314724 GN=mutS PE=3 SV=1 MRKDVTPMMRQYLNIKDKHKDAILFFRVGSFYEMFFDDALEGSKLLGLTLTKRENVPMCGVPCHTSKDYIKKLILLDKKVAICEQGLQTDPKGPLEREVVEVISPGVVIDEDFLQDDINNYLIAISDYKDYYSFSYIDLSTSRLGIILYEGNFLEKLRRDIEKYSPKEIIVSEDFYYEYLEKLALDRFLVNKIPHWHFDKEIAMKSLKEHFNVLSLSALGFKEDEPYYVSSFLIIDYIKNNLKNLLINIDTIHINNDSEYMFLDDVTQINLELVKNNNDLTSCYSLYSVLNDCKTPMGKRLLREYILNPLLDIVAINNRLDHVEFLNNNINLSMKLRDILSNVWDIERIISRLQMKKYVKKDFLLIKESLTAFFLAKRLLNEHSFSYWIFDVNDENNIREIYSLIDCSISKEPDELIQHGYNFEIDRLREIKNNASKYVDDYLNFERNFSKISSLKIRRINVRGLFFEVTKSYYGQVPSHFIESQTLNSVKRYKTNKLIELERDINDAEDNLLALEQEVFDDIASKIVKHSVVIKKIANFFAYVDVVSDFAYLAKKNEYVRPTLTNNKEIILECSRHPVVEHYMKGVEAFTKNSVKIDNDKYFCLITGPNMAGKSTYLRQTALVVLMGHIGSFVPANQAIIGITDKIFCRIGASDNISKGESTFLVEMNETANILRNATQNSLIIMDEVGRGTSTNDGLAIAYSIVEYILEHIQARSLFATHFHELSAIKHDSFVNLSMKIERQGDELIFLREVEEKPSLNSYGIYVARIAGIPLKVIERANVILKSLTSREHLYVPEFFTSATLVINDGEEAMKEDLSYELELNDYLELKNFISKIDVNNITPFQAMNLLSEIILKTKT