Q9ZFU6 Uncharacterized protein YpfL MolNFT, Molecular NFT on GenesisL1

Uncharacterized protein YpfL

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeieirm76lt3wau37ph5op7ex65nbr2jmr2k7h7o3auy7yzhocqekvy/metadata.json

IPFS of structure file:

bafybeidczqvknuwpbqqlttbyrkkoqq7o7owj5nmxwrntaaogexi45scftm/AF-Q9ZFU6-F1-model_v2.pdb

First NFT owner address (eip-55):

0x7782F4817b37743d738e9aF842bf74bd50f2015E

First NFT owner address (bech32):

genesis1w7p0fqtmxa6r6uuwntuy90m5h4g0yq27nqe34a

Current NFT ID #536496 owner (web3):

0x67Caacc81C91Ffe8C5b6E9623969278a00FCc789

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
536496
Accession (UniProt):
Q9ZFU6
Name::
Uncharacterized protein YpfL
Experimental Method:
Predicted structure
Sequence source:
SALMONELLA TYPHIMURIUM (STRAIN LT2 / SGSC1412 / ATCC 700720)

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 Q9ZFU6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZFU6|YPFL_SALTY Uncharacterized protein YpfL OS=Salmonella typhimurium (strain LT2 / SGSC1412 / ATCC 700720) OX=99287 GN=ypfL PE=4 SV=2 MDERIPCKNPQCSHFILPATAARTEGYCMPCVQARYRQVQEEYIRKNRKTIDAFSGITNPVEMLKLVHEPREHDPLIEWIPCPIPTDELYKKLSDDESRDMVDYAEELFDSGWQEEAQEIALCLAAFTQANLDNFLRQVINEEELELSSPLPFHRAPPDVRDALLQKVETDDENRDGILCALAWIGDEVVVEHFNRWRQEPPAWSASLHILPHRYAHQAGWELTENGRRRDLYFTQCTHLVKQAPEQPAVFRAVAEYGENCPHCSLPLINLFEVAPSAVGLSTQGWPGQIRILTCQCCTAYNTVFATVDPQGQPRWYEKNALSTLAVENSADWITLPLDVLHPGESRLPLFAAEIFLPTTFSQLGGHPAWVQDTDYPTCPTCAQTMMFLAQLSYEDIEEEEYAEGMLYGFICPSCQTTATSYQQT

Q9ZFU6 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q9ZFU6 research and analysis (ICN3D with VR)

FASTA sequences

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