P59620 AF NFT | MOLNFT bioinformatics, blockchain

Bifunctional protein ArgH

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeidk5do4egnkcryjxu4vbqpzr5zcui6znikijszmdwcnjzqsnx7d5y/metadata.json

IPFS of structure file:

bafybeidd4o32l2whjim3by6al5npcil7pz2kcbf4mbwaygejytiiursabm/AF-P59620-F1-model_v2.pdb

First NFT owner address (eip-55):

0x12f41c9e42Ae94738EDbf0e38724b13726E509B6

First NFT owner address (bech32):

genesis1zt6pe8jz46288rkm7r3cwf93xunw2zdksejjch

Current NFT ID #23482 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
23482
Accession (UniProt):
P59620
Name::
Bifunctional protein ArgH
Experimental Method:
Predicted structure
Sequence source:
VIBRIO PARAHAEMOLYTICUS SEROTYPE O3:K6 (STRAIN RIMD 2210633)

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 P59620 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P59620|ARLY_VIBPA Bifunctional protein ArgH OS=Vibrio parahaemolyticus serotype O3:K6 (strain RIMD 2210633) OX=223926 GN=argH PE=3 SV=1 MALWGGRFTQAADTRFKEFNDSLRFDYRLAEQDIVGSIAWSKALLSVGVLSAEEQQKLELALNELKLEVMEDPHQILRSDAEDIHSWVEQQLISKVGDLGKKLHTGRSRNDQVATDLKLWCRQQGQQLLIALDRLQSQMVQVAKQHQGTVLPGYTHLQRAQPVTFAHWCLAYVEMFERDYSRLSDALQRLDTCPLGSGALAGTAYPIDREQLAHNLGFHRATRNSLDSVSDRDHVMELMSVASISMLHLSRLAEDMIFYNSGESNFIELADTVTSGSSLMPQKKNPDALELIRGKTGRVYGALAGMMMTVKALPLAYNKDMQEDKEGLFDALDTWNDCMEMAALCFDGIKVNGERTLEAAKQGYANATELADYLVAKGIPFREAHHIVGVAVVGAIAKGCALEELSLQELQEFSDVIDNDVYDILTIESCLEKRSALGGVSPKQVAYAVDQADKRLAQRDSSAVKVRPARLTDIETLEGMVAYWANMGENLPRSRNELVRDIGSFAVAEHHGEVTGCASLYVYDSGLAEIRSLGIEAGWQGQGQGSAIVNYLVDKARQMAIKKVFVLTRTPEFFMKQSFLPTSKSLLPEKVLKDCDQCPRQHACDEVALEINLVEQIIQRSHVA