Q3B748 AF NFT

Protein LLP homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia73yyywfdfjj75xfc3dnlvgizxb7wstlyrdeabjnvo4yy2it3mee/metadata.json
IPFS of structure file: 
bafybeihrotpoiqu5rwqdwaxqgvlak4wyer24bormb6y5aipdq75kcvhhjq/AF-Q3B748-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1d163b7bB61A3964618C49e8Ab3848111BBFF623
First NFT owner address (bech32): 
genesis1r5trk7akrgukgcvvf852kwzgzydmla3rnsc5c2
Current NFT ID #215636 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
215636
Accession (UniProt):
Q3B748
Name::
Protein LLP homolog
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 Q3B748 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3B748|LLPH_DANRE Protein LLP homolog OS=Danio rerio OX=7955 GN=llph PE=2 SV=1 MAKSLRSKWRRKMRAEKRKKVAPKELARLKSALGQGEKGEISMKDVAEIATVVPPEKVKQKPADVDMQEEEADGGKMDLDTKRNKKTMLDEHGRYPVWMNQRQAKKLKAKRVGKNGKPKPKKRLAW