A0AIW8 AF NFT

Aspartate--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicj7kt7wz7v6xh6ds3jl7czqpmpd57cf7njf35ss26njgrjgtuvm4/metadata.json
IPFS of structure file: 
bafybeiaqbuuatge6qf2bvorsgcth6ui7n2g2puh33bj3seosw4dl4n6fju/AF-A0AIW8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x81957cf22C1850f268Ea6B427f0c14A4D40792f1
First NFT owner address (bech32): 
genesis1sx2heu3vrpg0y682ddp87rq55n2q0yh3fa04ws
Current NFT ID #445028 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
445028
Accession (UniProt):
A0AIW8
Name::
Aspartate--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Listeria welshimeri serovar 6b (strain ATCC 35897 / DSM 20650 / CIP 8149 / NCTC 11857 / SLCC 5334 / V8)

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 A0AIW8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0AIW8|SYD_LISW6 Aspartate--tRNA ligase OS=Listeria welshimeri serovar 6b (strain ATCC 35897 / DSM 20650 / CIP 8149 / NCTC 11857 / SLCC 5334 / V8) OX=386043 GN=aspS PE=3 SV=1 MEKRTNYCGELNETHIDQHVVLHGWVQKRRDLGGLIFIDLRDREGIVQVVFNPEFSKEALEIADSVRNEFVVTIKGKVHARGEKAINEKLATGKVEILAEEITILNTSKTPPFYIEDGVNVSDELRLKYRYLDLRRPEMNNIFKMRHTVTRTFRNKLDALGFFDIETPYLTKSTPEGARDYLVPSRVYPGNFYALPQSPQILKQLLMTAGFDKYYQIVRCFRDEDLRGDRQPEFTQIDLETSFLTKEKIQAITEDMLIDVVKEAKGITIEKPFPRMTYKEAMDRFGSDKPDIRFGLELQNVSEVVKDVDFKVFQSAIENGGEVKAINAKAAAANFSRKDLDALGIFVSNYGAKGLAWLKVEAGELKGPIAKFFPEEKALELKAALKAEDGDLLLFAADKADIVAASLGALRNKLGKDLNLINEDELAFLWVTDWPLFEYDEEAGRYVSAHHPFTLPKEEDIPLLETDSSKVMAEAYDIVLNGYEIGGGSLRIYKKEVQESMFRALGFTDESAKEQFGFLMDALEYGTPPHGGIALGLDRIVMILAGRNNLRDTIAFPKTGSAVDPLTNAPGEVSDAQLDELKLQITKKELN