Q5D016 AF NFT

Prefoldin subunit 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie4unzaeg7j3ckrxexkalnijlfaugyfnzech57zxz5nn7sdudnjoq/metadata.json
IPFS of structure file: 
bafybeifbxxkfspr6rcgi3g73wjbfslma7eegpbyq34qztjggs6q56kqsnu/AF-Q5D016-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x67Caacc81C91Ffe8C5b6E9623969278a00FCc789
First NFT owner address (bech32): 
genesis1vl92ejquj8l733dka93rj6f83gq0e3ufu8rlpk
Current NFT ID #295218 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
295218
Accession (UniProt):
Q5D016
Name::
Prefoldin subunit 1
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 Q5D016 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5D016|PFD1_DANRE Prefoldin subunit 1 OS=Danio rerio OX=7955 GN=pfdn1 PE=2 SV=1 MAAPVDLELKKAFAELQAKMVDTQQKVKLADLQIEQLSRVKKHANLTHGEITSLPESTRMFEGAGRMFILQSKGEISNQLLEKQKTADDKIKELEQKKTYLERSVKDAEDNIREMLMSRRAQ