O96910 AF NFT

Attractin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiereynnb5mcynni6qdfuydempr2ahiiroggo3pdyjqjzqa7lwf5de/metadata.json
IPFS of structure file: 
bafybeigrxoiaf5pqltl56ggksbvr3ijoao53cmro7ukewuhq7aioj4eym4/AF-O96910-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1ED4a68B4011314730adE976b56Ad4cA21b54dcD
First NFT owner address (bech32): 
genesis1rm22dz6qzyc5wv9da9mt26k5egsm2nwdw6hzk8
Current NFT ID #39108 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
39108
Accession (UniProt):
O96910
Name::
Attractin
Experimental Method:
Predicted structure
Sequence source:
APLYSIA CALIFORNICA

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 O96910 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O96910|ATT_APLCA Attractin OS=Aplysia californica OX=6500 GN=ATT PE=1 SV=1 MKVAIIILSLALVAAVFADQNCDIGNITSQCQMQHKNCEDANGCDTIIEECKTSMVERCQNQEFESAAGSTTLGPQ