P17264 AF NFT

Rho crystallin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiai3fxnt7pchpa74oqvnuaomww76f77epxkjgs7vezv6xuq257gaq/metadata.json
IPFS of structure file: 
bafybeihv6ib7mdwbhharkojlnionj6urrbt3fbqvugtjsqpv2uw7c7uxni/AF-P17264-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x78Cc7f9BF18AF8279e492D45EE7Fe9d7cC6f6D07
First NFT owner address (bech32): 
genesis10rx8lxl33tuz08jf94z7ullf6lxx7mg8844d65
Current NFT ID #77443 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
77443
Accession (UniProt):
P17264
Name::
Rho crystallin
Experimental Method:
Predicted structure
Sequence source:
Lithobates catesbeianus

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 P17264 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P17264|CRO_LITCT Rho crystallin OS=Lithobates catesbeianus OX=8400 PE=1 SV=2 MTLTKETRVTLNDGNMMPILGLGTYAAPDVPKSLAEEAVKTAIDVGYRHIDCAFITGNEMHIGNGIRSKISDGTVKREDIFYTGKLWCTYFSPDMVRKGLERSLRDVGMDYLDLFLMHWPVSLKPSGASDPSDKDKPFIYDNVDLCATWEALEARKDAGLVRSLGVSNFNRRQLERILNKPGLKYKPVCNQVECHVYLNQNKLHSYCKSKDIVLVTYSVLGSHRDRNWVDLSLPVLLDDPILNKIAAKYNRTSAEVAMRFILQKGIVVLAKSFTPARIKQNLGVFEFELKPEDMKTLESLDRNLHYGPFREVKQHPEYPFHDEY