Q68EL3 AF NFT

BET1-like protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibetv7ggwj2u62x25ifafkexogonq34lpg32dzrs3uwxgwzmgyliu/metadata.json
IPFS of structure file: 
bafybeie3e4wywo6rvl37auczsq4cwkgtztfipcbjfv7khcv3aohpjzl2ji/AF-Q68EL3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc487cEf008e163c9c475e4f157372b0d7968A7cb
First NFT owner address (bech32): 
genesis1cjruauqgu93un3r4unc4wdetp4uk3f7tm273d6
Current NFT ID #41959 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
41959
Accession (UniProt):
Q68EL3
Name::
BET1-like protein
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 Q68EL3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q68EL3|BET1L_DANRE BET1-like protein OS=Danio rerio OX=7955 GN=bet1l PE=3 SV=1 MADPWNRGHGAVDDMLDAENKRMAENLASKVSRLKSLAYDIDKDAEEQNAYLDGMDSNFLSATGLLTGSVKRFSTMVRSGRDNRKILCYVSVGLVVAFFLLYYLVSRMQN