Q503D6 AF NFT

Cyclin-Q

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidaes6q6pmkh2fwu6vkwruvbk54f352akyn5f6neru4waxz63cnsi/metadata.json
IPFS of structure file: 
bafybeidlkbs6vhpirh2obky2cobelwaqmu3rlk6maslhcqsgobmtheg3ai/AF-Q503D6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0EA189b2343A464f560b44103f6A3396Da1dA8a9
First NFT owner address (bech32): 
genesis1p6scnv358fry74stgsgr763njmdpm29fgnp4ht
Current NFT ID #55489 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
55489
Accession (UniProt):
Q503D6
Name::
Cyclin-Q
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q503D6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q503D6|CCNQ_DANRE Cyclin-Q OS=Danio rerio OX=7955 GN=ccnq PE=2 SV=1 MSAHASTSAAANEARGRRSAEDVEYSKTHFRVCRFITETGVKLGMRSVPMATACVLYHRFFQSASLQIYEPYLVAMSAIHLAGKVEEQHLRTRDIINVCHRYFHPDSEPLELNGKFWELRDSIVQCELLILRQLNFQVTFEHPHKYLLHYLLSVRSLLNRHAWSRTPIAETALAVLKDSYHGSVCVRHRPQHLALTALYLALQTYGVQLPRGELEWWQVVCADITKAQIETIMSELLQLYDMEAKCT