Q9BDY7 AF NFT

Angiopoietin-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihshnadifgv24j6enbg2d5u7hx22wxuvcmi2eqxw6joxlgsp3u6zu/metadata.json
IPFS of structure file: 
bafybeiefp57pzu3mqdss6g4jpf4hhnoysrmmnxk3cch4n4vec2iunmlmuu/AF-Q9BDY7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9188600a0FCa2914254C94299b1bd9721Bc4D500
First NFT owner address (bech32): 
genesis1jxyxqzs0eg53gf2vjs5ekx7ewgduf4gquehckf
Current NFT ID #16287 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
16287
Accession (UniProt):
Q9BDY7
Name::
Angiopoietin-2
Experimental Method:
Predicted structure
Sequence source:
SUS SCROFA

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 Q9BDY7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9BDY7|ANGP2_PIG Angiopoietin-2 OS=Sus scrofa OX=9823 GN=ANGPT2 PE=2 SV=1 MWQLVFFALSCDLVLAAAYNNFRKSMDSTGKRQYQVQHGPCSYTFLLPETDNCRSPSSSYVSNAVQRDAPLDYDDSVRRLQVLENIMENNTQWLMKLESYIQDNMKKEMVEIQQNAVQNQTAVMIEIGTNLLNQTAEQTRKLTDVEAQVLNQTTRLELQLLEHSLSTNKLEKQILDQTSEINKLQDKNSFLEKKVLDMEDKHIVQLQSIKEEKDQLQVLVSKQNSIIEELEKQLVTATVNNSVLQKQQHDLMETVHNLLTMISTSNSAKHSLVAKEEQIIFRDCAEAFKSGLTTSGTYTLTFPNSTEETKAYCDMETGGGGWTVIQRREDGSVDFQRTWKEYKMGFGSPSGEHWLGNEFVSQVTNQKRYVLKIHLRDWEGNEAYSLYEHFYLSSEEFNYRIHLKGLTGTAGKISSISQPGNDFSTKDADNDKCICKCSQMLTGGWWFDACGPSNLNGMYYPQRQNTNKFNGIKWYYWKGSGYSLKATTMMIRPADF