A0A0R4IGV4 AF NFT

Junctional adhesion molecule 2A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicsmlaaapqykymi7twawnn4we5x5uq6tex2y7mjlp5zg6zv5eeg5y/metadata.json
IPFS of structure file: 
bafybeiha6x46co2zbddzahg4kwqvic4toukswxsliexl2dypr22lo7jmba/AF-A0A0R4IGV4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x356701dD1dB7AA99E5e866B5DfA659D570042607
First NFT owner address (bech32): 
genesis1x4nsrhgak74fne0gv66alfje64cqgfs8fzxnsz
Current NFT ID #196196 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
196196
Accession (UniProt):
A0A0R4IGV4
Name::
Junctional adhesion molecule 2A
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 A0A0R4IGV4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0A0R4IGV4|JAM2A_DANRE Junctional adhesion molecule 2A OS=Danio rerio OX=7955 GN=jam2a PE=2 SV=2 MLVCVSLLILIHSVPVSPVTVSSRNPKVEVHEFSDAELSCEFKTEKDTNPRIEWKRKDKEKDVSFVYYGERFVGPFQDRADIEGATVRLRRVTQADAGEYRCEVSAPSDSISLGETNVTLRVLVPPQTPSCDVPSSALTGSQVELRCRDRHSIPPAVYTWYKDNRALPIRHPNATYTVNEFTGVLIPQSHYNPGTVCQHCMYHPNYHIPNTQLTTTFQTHDLNVAAVVSAVVLVCVILFLCAFGVCLAHRQGYFSRHRGRSFWIPHCHGVTHISSQNLNPSEHTQHSGYSHPPKEPQDFKHTQSFML