B3DHU2 AF NFT

Transmembrane protein 65

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifb4vhzqbkfm42pi4hd5qcketqgwul7jggmcpiz7bteezhm3zlv7i/metadata.json
IPFS of structure file: 
bafybeiakj5httvdm5ib3xwk76hrbloj4nsvunsnby4vqzsyy2ibbvwwdcq/AF-B3DHU2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBeB220F0B5b0C48F46B5DDd3E3b071BC0827f8D6
First NFT owner address (bech32): 
genesis1h6ezpu94krzg7344mhf78vr3hsyz07xk78k92g
Current NFT ID #468733 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
468733
Accession (UniProt):
B3DHU2
Name::
Transmembrane protein 65
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 B3DHU2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B3DHU2|TMM65_DANRE Transmembrane protein 65 OS=Danio rerio OX=7955 GN=tmem65 PE=1 SV=1 MIRSVLLRALAARPPSAPVPGHLHRCLLGTHRRKIKPEQLELPNQTREFVYSLSPETRSRLLKELQTFESKTEDSGEASRLTAAQLRYILLHNAIPFIGFGFLDNAIMIAAGTQIELSIGLTLGISTMAAAALGNLVSDLAGLGLAGYVEALAVRLGMQIPDLSPRQVDMWQTRVSSHMGKAIGVAIGCILGMFPLLFLSDEEDKKPKKDSN