F1N3B8 AF NFT

2'-5'-oligoadenylate synthase 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihxdo2c5dgvtljp3tuucz3xcrwufhuu5fyn2qx4wmpsqodeix4kl4/metadata.json
IPFS of structure file: 
bafybeigs5n44rosm2clx2q3qsrdd5yocery3yb6nzoincqwutqlnbryqia/AF-F1N3B8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8c2D56B87823aE0eC22a00C7d67B25Fa307D4d29
First NFT owner address (bech32): 
genesis13sk4dwrcywhqas32qrrav7e9lgc86nffy3s4mh
Current NFT ID #279000 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
279000
Accession (UniProt):
F1N3B8
Name::
2'-5'-oligoadenylate synthase 2
Experimental Method:
Predicted structure
Sequence source:
BOS TAURUS

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 F1N3B8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|F1N3B8|OAS2_BOVIN 2'-5'-oligoadenylate synthase 2 OS=Bos taurus OX=9913 GN=OAS2 PE=2 SV=1 MGSRESHLYEKPSEKLEEFIQNHLRPSEDCQKDIDQSVDTICEVLQEPCPSLTVTGVAKGGSYGRRTVLRGNSDGILVVFFGDLEQFQDQEKRQYELLSKIWAQMKHCESTWKLAAKMELQNTNRSSRVTIQLSTKQQSITFNVLPAFNALGLSEKSSLWSYRELKRSLDMVKARPGEFSVCFTELQEKFFSNYPSKLKDLILLVKHWFQKCQEKLINSSLLPPYALELLTVYAWEQGCGAEDFDMAEGVRTVLRLIEKQEQLCVYWTVNYNFGDEIVRNILLSQLQAPRPVILDPTDPTNNVSMDNTCWLQLKHEAQNWLRSLRQNESPGPSWNVLPASLYITPGHLLDKFVKDFLQPNQTFQDQIKKALKIICSFLEENCFRHSTTKIQVIQGGSTVKGTALKTGSDASLVVFANSLKSYTSPKNERYNIIKEIHEQLEACRQEKDFEVKFEISKWKPPWVLSFTLKSKVLNESVDFDVLPAFNALGELKSGSTPSPRTYTELIHLYKPSDVFLEGEFSACFTKLQRNFVRSLPLKLKDLIRLLKHWYCGCEKKLKQKGSLPPKYALELLSIYAWEKGSGAQDFDMAEGFRTVLELVIQYQHLCVFWTVNYSFDDEILRNFLLGQIRRTRPVILDPADPTGDVGGGHRWCWHLLAKEATEWLSSLCFKDKSGCPIQPWNVPKKRVQTPGSCGAGIYSMVNEMHLLRSHRFLD