Q9PR61 AF NFT | MOLNFT bioinformatics, blockchain

Protein RecA

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeibrjen7umq7ch6qblgfaoqvrgpec4qxgyxzaw54elytc22ejocbna/metadata.json

IPFS of structure file:

bafybeicbt6nadqdojdusqhwx2jc5o6yqkookmmr27skf74uhbtrrkbmoda/AF-Q9PR61-F1-model_v2.pdb

First NFT owner address (eip-55):

0xdaa356CE75bf1C8E9543ad52A89B7C7C41D2bcDB

First NFT owner address (bech32):

genesis1m234dnn4huwga92r44f23xmu03qa90xmzz3dkm

Current NFT ID #336699 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
336699
Accession (UniProt):
Q9PR61
Name::
Protein RecA
Experimental Method:
Predicted structure
Sequence source:
Ureaplasma parvum serovar 3 (strain ATCC 700970)

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 Q9PR61 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9PR61|RECA_UREPA Protein RecA OS=Ureaplasma parvum serovar 3 (strain ATCC 700970) OX=273119 GN=recA PE=3 SV=1 MKENNNLEKLDPIATLETKFAKSSYFIADEIKDEKINAISTGSIHIDQITGINGIPVGKITEIYGNESSGKTTIALQTIAECQKTGGTVVLLDLEGSFDINYAKSLKVDLTKLIITQPQTGEQAFDMIETLIKTNSIDLIVIDSVAAMLPESEYQANMNEALMGAHARLMSKGLRKIQPLINKSKTAIIFINQLREKINTFFGNPEMTTGGKALKFYASLRIETKKADLIKEGINKIGIKTKVTTVKNKLAPPLQTCFIDIFFGSGFDYNNEIIDFAIQYGVLKKNGSWFYFNDNKIGQGREQLKNTLSKNNELFIQISEKTLEFVNNEKSNWQ