Q6PC62 AF NFT

Maspardin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih62ncgtq76iph53w525ihksnhepk7u7iedcrl7jqewc7f3tziyfa/metadata.json
IPFS of structure file: 
bafybeif45jfuntwkgdryiaiaespznlje7neh3zwne6waq22yfmgmlo5vqy/AF-Q6PC62-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9B130d619fCFc21d0D08E5Ce38Cf42A5fbe230CB
First NFT owner address (bech32): 
genesis1nvfs6cvlelpp6rgguh8r3n6z5ha7yvxthx8q26
Current NFT ID #434808 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
434808
Accession (UniProt):
Q6PC62
Name::
Maspardin
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q6PC62 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6PC62|SPG21_DANRE Maspardin OS=Danio rerio OX=7955 GN=spg21 PE=2 SV=1 MEEIRVSPDYNWFRSTVPLKRIIVDDDDSKVWSLYDAGPKSIRCPIIFLPPVSGTAEVFFQQVLALSGWGYRVISLQYPVYWDLLEFCDGFRKLLDHLQLDKVHLFGASLGGFLAQKFAEVTYKSPRVHSLVLCNSFSDTSIFNQTWTANSFWLMPSFMLKKIVLGNFAKGPVDPKMADAIDFMVDRLESLNQSELASRLTLNCQNSYVEPHKIKDIAVTIMDVFDQSALSQEAKEEMYKLYPNARRAHLKTGGNFPYLCRSAEVNLYIQIHLRQFHGTRYAAISPEMVSAEELEVQRTHLSNNSESEDES