B0TJ05 AF NFT

Methionine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidbavoaxju5dznxydvn7lcmdy7h2bbnnb2ymc3g6aef5mti3fnzru/metadata.json
IPFS of structure file: 
bafybeibwxgzcj3fmnquocxcokzzdi4bumg5ng2yomxdnikdyoyrmzvehsy/AF-B0TJ05-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbb70F0E8A022Dea1649fb8A23ca94a9A30e70c23
First NFT owner address (bech32): 
genesis1hdc0p69qyt02zeylhz3re222ngcwwrprzxyzfw
Current NFT ID #450973 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
450973
Accession (UniProt):
B0TJ05
Name::
Methionine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Shewanella halifaxensis (strain HAW-EB4)

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 B0TJ05 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B0TJ05|SYM_SHEHH Methionine--tRNA ligase OS=Shewanella halifaxensis (strain HAW-EB4) OX=458817 GN=metG PE=3 SV=1 MANSQRKILVTSALPYANGPIHLGHMLEYIQTDIWSRFQKLRGHECHYICADDAHGTPIMLKAQQMGIAPEEMIAQVQKEHEKDFADFNIQFDNFHSTHSDENRELASQVYIKLRDAGYIKTKTISQLFDPEKSMFLPDRFVKGTCPRCKSEDQYGDNCDNCGATYSTTDLIDPRSAVSGATPVMKDSEHFFFDLPAFEGMLKEWINSGSLQQEMANKLGEWFEQGLQQWDISRDAPYFGFEIPDAPGKFFYVWLDAPIGYMGSFKNLCNKRDDLNFDEFWSKDSTAEVYHFIGKDIVYFHSLFWPAMLEGAGLRKPTSVYAHGYVTVNGAKMSKSKGTFIKARTYLDNLDPEYLRYYYAAKLSSRIDDLDLNLEDFAQRVNSDLVGKLVNLASRTAGFISKRFGGKLAKIADTSLTTSFLAKQEIIANFYETREYGKAMREIMALADIANAYVADSAPWQLIKEEDKQEEAHQVCSNALNLFRILVTYLKPVLPKLAQDVEAFLQMELTWDNLDIDLAGHEIAKFKALMQRVEMKSIEAIIEASKENLQVTAEPEVKKEVKTPLEQDPILDEISFDDFAKIDLRIARIAKAEHVKEANKLLRLELDLGGETKQVFAGIKSAYAPEDLEGKLTVMVANLAPRQMRFGVSEGMVLAAGPGGKDLWIMEPHEGAQPGMKVK