Q63754 AF NFT

Beta-synuclein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicc5dppqcfudkzjzinbfhfs7bt3p7edxhgzrbpxftq4z3habcwilu/metadata.json
IPFS of structure file: 
bafybeictq4uxis4ro7ynn67cabcjq2ugpbi56llrrvvpg4w7zgy2k2wxl4/AF-Q63754-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3c1B584F709f56f19f89c8aAff21aCdBC00bB14c
First NFT owner address (bech32): 
genesis18sd4snmsnat0r8ufez407gdvm0qqhv2vqvntyl
Current NFT ID #454800 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
454800
Accession (UniProt):
Q63754
Name::
Beta-synuclein
Experimental Method:
Predicted structure
Sequence source:
RATTUS NORVEGICUS

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 Q63754 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q63754|SYUB_RAT Beta-synuclein OS=Rattus norvegicus OX=10116 GN=Sncb PE=1 SV=1 MDVFMKGLSMAKEGVVAAAEKTKQGVTEAAEKTKEGVLYVGSKTKEGVVQGVASVAEKTKEQASHLGGAVFSGAGNIAAATGLVKKEEFPTDLKPEEVAQEAAEEPLIEPLMEPEGESYEDSPQEEYQEYEPEAKGP