A2SEP2 AF NFT

Aspartate--tRNA(Asp/Asn) ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibi2lhqvbscyrhqzcpeq6b5gufoz2j4k7jbdfb6oopgf5b4zjoyri/metadata.json
IPFS of structure file: 
bafybeifzwzyysyf7xwk3e5eu5j42giavag2z6zbncrwpq44nevbthe7aiq/AF-A2SEP2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x756bFDb0226Aa720bF009aFD5c0C76F6dFE0Cc9D
First NFT owner address (bech32): 
genesis1w44lmvpzd2njp0cqnt74crrk7m07pnyalxjrqd
Current NFT ID #444634 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
444634
Accession (UniProt):
A2SEP2
Name::
Aspartate--tRNA(Asp/Asn) ligase
Experimental Method:
Predicted structure
Sequence source:
Methylibium petroleiphilum (strain ATCC BAA-1232 / LMG 22953 / PM1)

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 A2SEP2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A2SEP2|SYDND_METPP Aspartate--tRNA(Asp/Asn) ligase OS=Methylibium petroleiphilum (strain ATCC BAA-1232 / LMG 22953 / PM1) OX=420662 GN=aspS PE=3 SV=1 MRTTYCGLVSEMLLGQTVTLMGWAHRRRDHGGVIFIDLRDREGLVQVVCDPDRAEMFKAAEGVRNEFCLKIVGKVRARPAGTENANLVSGKVELLCHELEVLNPSVTPPFQLDDDNLSETTRLTHRVLDLRRPAMQKNLILRYRVAMEVRKFLDANGFIDIETPMLTKSTPEGARDYLVPSRVNEGMFFALPQSPQLFKQLLMVSGFDRYYQITKCFRDEDLRADRQPEFTQIDIETSFLDEEEIRGMFEGMIRTVFRAVMNVELPGYPVMKYAEAMHRFGSDKPDLRVKMEFTELTEVMKDVDFKVFSAPAQAKGGRVVALRVPGGGEMSRSEIDGYTEFVKIYGAKGLAWIKVNDASKGREGLQSPIVKNLHDAAIAEIIARSGARNGDLLFFGADKAKVVNDAIGALRVKIGHSDFGKSGGLFEDKWAPLWVVDFPMFEHDEEGDRWAAVHNPFTAPKDGHEDLMDTDPGKCIAKAYDMVLNGWELGGGSVRIHRAEVQSKVFSALKIGPDEAQLKFGFLLDALQYGAPPHGGLAFGLDRLVTLMTKADSIRDVIAFPKTQRAQDLLTHAPSPVDEKQLRELHIRLRNPAAGQSGV