Q9JJV1 AF NFT

Beta-crystallin A2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibcnzks7iwlrfjvhzbboon4rvfvmzndln677vr7qcssp3rthnbu2i/metadata.json
IPFS of structure file: 
bafybeiaijribpg2pqfdmxzlchstejzycuzrithip4r7m7rnkcvjdu4f77m/AF-Q9JJV1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xe31a910f6C16a75742b91e7617931F9bE87c1D6c
First NFT owner address (bech32): 
genesis1uvdfzrmvz6n4ws4eremp0ycln058c8tvlnzsvq
Current NFT ID #76319 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
76319
Accession (UniProt):
Q9JJV1
Name::
Beta-crystallin A2
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 Q9JJV1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9JJV1|CRBA2_MOUSE Beta-crystallin A2 OS=Mus musculus OX=10090 GN=Cryba2 PE=2 SV=3 MSSAPAPGSAPVCLTLWDEEDFQGRRCRLLSDCANVCERGALRRVRSVKVENGAWVAFEYPDFQGQQFILEKGDYPCWSAWSGSSGHHSNQLLSFRPVLCANHSDSRVTLFEGENFQGCKFELSDDYPSLPSMGWTSKDVGSLKVSSGAWVAYQYPGYRGYQYVLERDRHSGEFRTYSDFGTQAHTGQLQSIRRVQH