A7Z750 AF NFT

Aspartate--tRNA(Asp/Asn) ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifkrkt4wozibmwq6r3rzx5cflklmhcc4nrghfo5mdgw5iw27657be/metadata.json
IPFS of structure file: 
bafybeib4xmmh6gni3xeqnyjntvgh2ixcmp73p26tistaztcopvlyhxgxvi/AF-A7Z750-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd10960F956646DE8b64d3598984c91C2d5Af3D7b
First NFT owner address (bech32): 
genesis16yykp72kv3k73djdxkvfsny3ct2670tm7h5hjv
Current NFT ID #444428 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
444428
Accession (UniProt):
A7Z750
Name::
Aspartate--tRNA(Asp/Asn) ligase
Experimental Method:
Predicted structure
Sequence source:
Bacillus velezensis (strain DSM 23117 / BGSC 10A6 / LMG 26770 / FZB42)

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 A7Z750 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7Z750|SYDND_BACVZ Aspartate--tRNA(Asp/Asn) ligase OS=Bacillus velezensis (strain DSM 23117 / BGSC 10A6 / LMG 26770 / FZB42) OX=326423 GN=aspS PE=3 SV=1 MFGRTYYCGEITEKAIGETVKLKGWVQKRRDLGGLIFIDLRDRSGIVQVVFNPDVSKEALAAAEAIRNEYVLDIEGTVSAREEGTVNPNLKTGKIEIKAEAVTVLSTAKTPPFPISDQAADVSEDVRLKHRYLDLRRPAMFQTLQMRHQVTKSIRHFLDENGFLDIETPILTKSSPEGARDYLVPSRVHEGEFYALPQSPQIFKQLLMVSGFERYYQVARCFRDEDLRADRQPEFTQIDIEMSFMSQEDIMALAEEMMAKVMLETKGVEVPLPLPRMTYEEAMNSYGSDKPDTRFGMLLTDVSDIVKDTEFKVFSSAVANGGVVKAINVKGAAGDYSRKDIDALGVFAGNYGAKGLAWVKVEADGVKGPIAKFFDEEKQAKLAEALEASEGDLLLFGADKFEVVAQSLGALRLKLGKERGLIDESLFNFLWVVDWPLLEHDEEEGRFYAAHHPFTMPVREDLDLIETAPEDMKAQAYDLVLNGYELGGGSIRIFEKDVQEKMFGLLGFTKEEAEEEFGYLLEAFEYGAPPHGGIALGLDRLVMLLAGRTNLRDTIAFPKTASASCLLTEAPGEVSDAQLEELHLSVKRKVKQ