A3KPA0 AF NFT

Junctional adhesion molecule 3B

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigpboqmx5kzgiz5bnt5wutja5xh7uo4izqqoctuk6inlt5iqd4uim/metadata.json
IPFS of structure file: 
bafybeigf6w3d5rx5tj2w7ks2yhpfqhygy22ibidpjnn37uzewz3si2kqya/AF-A3KPA0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8ed25CF7166D65bDC663E5A5EF1cEb140cBB38E5
First NFT owner address (bech32): 
genesis13mf9eackd4jmm3nrukj7788tzsxtkw89rltz8l
Current NFT ID #196199 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
196199
Accession (UniProt):
A3KPA0
Name::
Junctional adhesion molecule 3B
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 A3KPA0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A3KPA0|JAM3B_DANRE Junctional adhesion molecule 3B OS=Danio rerio OX=7955 GN=jam3b PE=1 SV=1 MALTPLACVLLLLSMQCYISTLAVLLKSTNSKPWVNEFESIELSCMIESITTTKPRIEWKKIKNGDPSYVYFDNQISGDLERRAKIREPATLVILNATRSDSADYRCEVTAPNDQKSFDEILISLTVRVKPVVPRCSVPKSIPVGKPAELHCLEDEGYPKSQYQWFRNKEEIPLDPKSSPKFFNSTYTLDGEMGTLKFSAVRKEDAGEYYCRAKNEAGISECGPQMMEVYDINIAGIILGVVVVVMVLLCITVGIFCAYKRGYFTSQKQTGNNYKPPAKGDGVDYVRTEDEGDFRHKSSFVI