Q7ZT75 AF NFT

Ficolin-1-A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicvcifqqqmzggpj4zhiogp7gv4ux3fy7gbmmu5zxgw2feb3kuvbna/metadata.json
IPFS of structure file: 
bafybeiffylbmz5ylx53bviph3lim5gmj22l5v4rp3ba2ifdgma5nb52kxi/AF-Q7ZT75-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6c2cC0486fb44B18D7Df3279EE7D533F42858Eba
First NFT owner address (bech32): 
genesis1dskvqjr0k393347lxfu7ul2n8apgtr46jvkl0z
Current NFT ID #127999 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
127999
Accession (UniProt):
Q7ZT75
Name::
Ficolin-1-A
Experimental Method:
Predicted structure
Sequence source:
XENOPUS LAEVIS

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 Q7ZT75 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7ZT75|FCN1A_XENLA Ficolin-1-A OS=Xenopus laevis OX=8355 GN=fcn1-a PE=1 SV=2 MTRWVQTFLLLVAVIRSYAEDSCPDVKVIGVGASDKLTILRGCPGIQGVPGPQGPAGPVGAKGFAGARGIPGDIGPTGLKGEQGYPGARGLKGEKGDPGVPVPGTAQNCKEWLDQGVTISGWYTIYTPNGLTLSVLCDMETDGGGWIVFQRRADGSVDFNRDWNSYKRGFGRKDSEFWLGNDNLHLLTATGNFQLRVDLTDFSDKSTYASYSNFSIAEESQSYTLSLRSFMGGDAGDSLSGHKNFSFSTKDRDNKSNCAHTFKGGWWYETCHYSNLNGLYLHGNHTSYANGVNWSTGRGYHYSYKVSEMKFRPQP