P02785 AF NFT

Cygnin

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeialzt6knwdvuasdaxh5fdgjgj2vjsuygbwhbug47h6ysi3dj2ssk4/metadata.json

IPFS of structure file:

bafybeiano5au4qmxgrurp3r7nof6wbutldbhxd4whzcwsfsec43vgm2cy4/AF-P02785-F1-model_v2.pdb

First NFT owner address (eip-55):

0x8Ac4Ac1df1311E72f20E7E8aCDA3A7fa7834D3b4

First NFT owner address (bech32):

genesis13tz2c803xy089usw069vmga8lfurf5a5dfv53m

Current NFT ID #84727 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
84727
Accession (UniProt):
P02785
Name::
Cygnin
Experimental Method:
Predicted structure
Sequence source:
CYGNUS ATRATUS

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 P02785 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P02785|CYGN_CYGAT Cygnin OS=Cygnus atratus OX=8868 PE=1 SV=3 QVRKYCPKVGYCSSKCSKADVWSLSSDCKFYCCLPPGWK

MOLNFT AF v1_w

NFT data

MOLNFT P02785 research and analysis (ICN3D with VR)

FASTA sequences

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