Q5BJC2 AF NFT

Protein kish-A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid6cosyyl5b5bb32gphd3k3yr2jlrbiqy5tnuod2tefw43vwtp2nm/metadata.json
IPFS of structure file: 
bafybeibnnzgn7qnsabxqekf37e4apm4xlu7y3ma2hiy5bonqximqkb5fju/AF-Q5BJC2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb7da80035aDf3CD2d8DC49E839f0D877d5f7D7e1
First NFT owner address (bech32): 
genesis1kldgqq66mu7d9kxuf85rnuxcwl2l04lpufsg9v
Current NFT ID #203433 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
203433
Accession (UniProt):
Q5BJC2
Name::
Protein kish-A
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 Q5BJC2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5BJC2|KISHA_DANRE Protein kish-A OS=Danio rerio OX=7955 GN=tmem167a PE=3 SV=1 MSAIFNFQSLLTVILLLICTCAYIRSLTPSLLDKNKTGFLGIFWKCARIGERKSPYVAFCCIVMALTILFSE