Q9BI17 AF NFT

Protein yellow

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibd7d5ybcnzui4vn3vlojs3b5s44t7eqwg4a7wwitcfp2avbo3xsi/metadata.json
IPFS of structure file: 
bafybeiaf7jerzbtlgomx775gco7i6pwt7asu3jg263omafk6hgziweuuqq/AF-Q9BI17-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8EFA7f4a75DF32D98Cf4d88EFEdA11ea5e52c27D
First NFT owner address (bech32): 
genesis13ma87jn4muednr85mz80aks3af099snawqwve5
Current NFT ID #529448 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
529448
Accession (UniProt):
Q9BI17
Name::
Protein yellow
Experimental Method:
Predicted structure
Sequence source:
Drosophila yakuba

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 Q9BI17 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9BI17|YELL_DROYA Protein yellow OS=Drosophila yakuba OX=7245 GN=y PE=3 SV=1 MFQDKGWVLLTLITLVSPSWAAYKLQERYSWNQLDFAFPNARLKEQALASGDYIPQNGLPVGVEHFGNRLFVTVPRWRDGIPATLTYINMDRSLTGSPELIPYPDWRSNTAGDCANSITTAYRIKVDECGRLWVLDTGTVGIGNTTTNPCPYAVNVFDLTTDTRIRRYELPAVDTNPNTFIANIAVDIGKNCDDAYAYFADELGYGLIAYSWEQDKSWRFSAHSYFFPDPLRGDFNVAGINFQWGEEGIFGMSLSPIRSDGYRTLYFSPLASHRQFAVSTRILRDETRTEDSYHDFVALDERGPNSHTTSRVMSDDGIELFNLIDQNAVGCWHSSMPYSPQFHGIVDRDDVGLVFPADVKIDENKNVWVLSDRMPVFLLSDLDYSDTNFRIYTAPLATLIDNTVCDLRNNAYGPPNTVSIPKQTVLPVGPPLYTKQYRPVLPQKPQTSWASSPPPPSRTYLPANSGNVVSSISVSTNTVGPAGVEVPKAYIFNQHNGINYETSGPHLFPTLQPAQPAGQDGGLKTYVNARQSGWWHHQHQG