A9R4C1 AF NFT | MOLNFT bioinformatics, blockchain

33 kDa chaperonin

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeibctnoxrfoajsngesqx54gqvqq7fuslvfuxlit27tbviymve67ahe/metadata.json

IPFS of structure file:

bafybeid2u7lmodezcxk6z3vam7p3h5da5d3n3yabhpgfummebbyhugkhpa/AF-A9R4C1-F1-model_v2.pdb

First NFT owner address (eip-55):

0xf7D20b3d2f8DB1892d5C3e88dC1a669134D3Ad32

First NFT owner address (bech32):

genesis17lfqk0f03kccjt2u86ydcxnxjy6d8tfj0mqcxr

Current NFT ID #178310 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
178310
Accession (UniProt):
A9R4C1
Name::
33 kDa chaperonin
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Angola)

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 A9R4C1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9R4C1|HSLO_YERPG 33 kDa chaperonin OS=Yersinia pestis bv. Antiqua (strain Angola) OX=349746 GN=hslO PE=3 SV=1 MSNHDQLHRYLFANHAVRGELVSVNETYQQVLANHDYPPAVQKLLGEMLVATSLLTATLKFDGDITVQLQGGDGPLTLAVINGNNRQEMRGVARVKGEISDDSTLQEMVGNGYLVITITPAQGERYQGVVALEGETIAACLENYFMQSEQLPTRLFIRTGHVADKAAAGGMLLQVLPAQERNEDEFDHLAQLTATIKAEELFTLPANEVLYRLYHQEEVTLYEPQNVSFRCTCSRQRCADALVTLADDDVTEMLEQDGNIDMHCEYCGNHYLFDAVDIATLKNGNSASSEQIH