Q9JJV0 AF NFT

Beta-crystallin A4

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeian2zh6qa3eue4tha2q2kqq4vg3me3vuzlz5vdoaja4qhbc7v5u7e/metadata.json
IPFS of structure file: 
bafybeieht56nn4laexspvkfdfzle22z6dt56avtemp5c755vj2f6stinw4/AF-Q9JJV0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7FDF8b382C6a36A8772D1A265E8e480c7DF0A9C1
First NFT owner address (bech32): 
genesis10l0ckwpvdgm2saedrgn9arjgp37lp2wpyzq5qn
Current NFT ID #76325 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
76325
Accession (UniProt):
Q9JJV0
Name::
Beta-crystallin A4
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q9JJV0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9JJV0|CRBA4_MOUSE Beta-crystallin A4 OS=Mus musculus OX=10090 GN=Cryba4 PE=2 SV=3 MTLQCTKSAGHWRMVVWDEEGFQGRRHEFTAECPSVLELGFETVRSLKVLSGAWVGFEHAGFQGQQYVLERGDYPGWDAWGGNTAYPAERLTSFRPVACANHRDSRLTIFEQENFLGRKGELNDDYPSLQAMGWDGTEVGSFHVQSGAWVCSQFPGYRGFQYILESDHHSGDYKHFREWGSHAHTFQVQSVRRIQQ