Q1C2N0 AF NFT | MOLNFT bioinformatics, blockchain

33 kDa chaperonin

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeiaomcqylnxrv5huqlkuh4z7sdofzwlqupdr53ddaef5kjwqvte2xy/metadata.json

IPFS of structure file:

bafybeidcv42zyju662xl3b3bnnl5viawbi4vyqvpw67ozdd62kvooop7ou/AF-Q1C2N0-F1-model_v2.pdb

First NFT owner address (eip-55):

0x4a10f01615cd3ebD6464279A1A963c3D08465c80

First NFT owner address (bech32):

genesis1fgg0q9s4e5lt6eryy7dp493u85yyvhyqztyr6u

Current NFT ID #178307 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
178307
Accession (UniProt):
Q1C2N0
Name::
33 kDa chaperonin
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Antiqua)

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 Q1C2N0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1C2N0|HSLO_YERPA 33 kDa chaperonin OS=Yersinia pestis bv. Antiqua (strain Antiqua) OX=360102 GN=hslO PE=3 SV=1 MSNHDQLHRYLFANHAVRGELVSVNETYQQVLANHDYPPAVQKLLGEMLVATSLLTATLKFDGDITVQLQGGDGPLTLAVINGNNRQEMRGVARVKGEISDDSTLQEMVGNGYLVITITPAQGERYQGVVALEGETIAACLENYFMQSEQLPTRLFIRTGHVADKAAAGGMLLQVLPAQERNEDEFDHLAQLTATIKAEELFTLPANEVLYRLYHQEEVTLYEPQNVSFRCTCSRQRCADALVTLADDDVTEMLEQDGNIDMHCEYCGNHYLFDAVDIATLKNGNSASSEQIH