Q9W5Z2 AF NFT

Pituitary homeobox 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicer4b25pe3c3jdq2fuqobmijqbza5jqj7alfnyga66r5zk4l7uz4/metadata.json
IPFS of structure file: 
bafybeib4drqxr5y7xpgm3phlggycklpqvxgbkqzjlv6cgt6reqfwt2tm3q/AF-Q9W5Z2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5881B09f2D8e743400698633641fc1cD2Ed2BE6F
First NFT owner address (bech32): 
genesis1tzqmp8ed3e6rgqrfscekg87pe5hd90n0e7l5st
Current NFT ID #300314 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
300314
Accession (UniProt):
Q9W5Z2
Name::
Pituitary homeobox 2
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 Q9W5Z2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9W5Z2|PITX2_DANRE Pituitary homeobox 2 OS=Danio rerio OX=7955 GN=pitx2 PE=2 SV=1 MTSMKDPLSLDHHHHNHHVTGSKHAPLSMASSLQPLQRSVDSKHRLDVHTVSDTSSPESVEKEKGQSKNEDSNDDPSKKKRQRRQRTHFTSQQLQELEATFQRNRYPDMSTREEIAVWTNLTEARVRVWFKNRRAKWRKRERNQQAELCKNGFGPQFNGLMQPYDDMYPSYTYNNWAAKGLTSASLSTKSFPFFNSMNVNPLSSQTMFSPPNSISSMSMSSSMVPSAVTGVPGSSLNSLNNLNNLSNPSLNSGVPTPACPYAPPTPPYVYRDTCNSSLASLRLKAKQHSSFGYASVQNPASNLSACQYAVDRPV