A1JRL1 AF NFT

Aspartate--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiexp5wqrrir557wbc27icsmseb6ggbnbc4yaor2ltwc2np5ga3rnm/metadata.json
IPFS of structure file: 
bafybeifvi5cqdxlcp3eff3qvhacalt3lzg6ayqwkztpamyddr3atagrgpi/AF-A1JRL1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x80D2ac0F5e3268bC5C1d28BBAA07E3169BB02b79
First NFT owner address (bech32): 
genesis1srf2cr67xf5tchqa9za65plrz6dmq2me66p797
Current NFT ID #445187 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
445187
Accession (UniProt):
A1JRL1
Name::
Aspartate--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
YERSINIA ENTEROCOLITICA SEROTYPE O:8 / BIOTYPE 1B (STRAIN NCTC 13174 / 8081)

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 A1JRL1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A1JRL1|SYD_YERE8 Aspartate--tRNA ligase OS=Yersinia enterocolitica serotype O:8 / biotype 1B (strain NCTC 13174 / 8081) OX=393305 GN=aspS PE=3 SV=1 MRTEYCGQLNLSHVGQEVTLCGWVNRRRDLGGLIFIDMRDREGIVQVFFDPDHKAAYEQASELRNEFCIQITGTVRARPDSQINKDMSTGEVEIFANTLNIINRSEPLPLDSNQTNSEEQRLKYRYLDLRRPEMADRLKTRAKITSFVRRFMDSHGFLDIETPMLTKATPEGARDYLVPSRVHKGKFYALPQSPQLFKQLLMMSGFDRYYQIVKCFRDEDLRADRQPEFTQIDVETSFMTADQVREVMEKLVRELWQETKGVDLGDFPVMTFAEAMRRYGSDKPDLRNPMELVDVADLVKDVEFKVFSGPANDAKGRVAALRVPGGAQVTRKQIDEYGQFVGIYGAKGLAWLKVNDRAAGVEGVQSPIAKFLSAEVLEAILARTQAESGDILFFGADSFKVVTDAMGALRLKVGRDLALTKLDSWAPLWVVDFPMFEDDSEGGLSAMHHPFTAPKDMSPEQLAAAPTTAIANAYDMVINGYEVGGGSVRIHRTEMQQQVFGILGINEEEQREKFGFLLDALKFGTPPHAGLAFGLDRLVMLLTGTDNIRDVIAFPKTTAAACLMTDAPSFANPASLQELSISVVAKKGATDSSVEENQ