A0KPE2 AF NFT

Phosphopentomutase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie7acd2fgyf6u75okkdqqhremk5yyc7x4tl55va32ktg6myqzobuu/metadata.json
IPFS of structure file: 
bafybeigxzv6kagjdnh4vhpbg37637fumlyufti2jsa36xqwx4vf27xmcmm/AF-A0KPE2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xDc13e34B26d3682efCB1c1BDcD0e59E84871f18b
First NFT owner address (bech32): 
genesis1msf7xjex6d5zal93cx7u6rjeapy8ruvtlvuwh7
Current NFT ID #94709 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
94709
Accession (UniProt):
A0KPE2
Name::
Phosphopentomutase
Experimental Method:
Predicted structure
Sequence source:
Aeromonas hydrophila subsp. hydrophila (strain ATCC 7966 / DSM 30187 / BCRC 13018 / CCUG 14551 / JCM 1027 / KCTC 2358 / NCIMB 9240 / NCTC 8049)

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 A0KPE2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0KPE2|DEOB_AERHH Phosphopentomutase OS=Aeromonas hydrophila subsp. hydrophila (strain ATCC 7966 / DSM 30187 / BCRC 13018 / CCUG 14551 / JCM 1027 / KCTC 2358 / NCIMB 9240 / NCTC 8049) OX=380703 GN=deoB PE=3 SV=1 MKRTFILMMDSFGIGAAADADKFGDVGANTLGHIAKACAAGEIEGRGALNLPNLSKLGLGHAGELASGTFPAGLNKDIDVVGAYGFAQELSSGKDTPSGHWEIAGVPVLFEWGYFHDHHNSFPQELLDAIVEKAGLPGYLGNCHASGTQVLDDLGEEHMRTGKPILYTSADSVFQIACHEETYGLEKLYELCHIVRELLEPYNIGRVIARPFVGSGKGNFKRTGNRHDYSVLPPAPTVLDYMKEAGGQVVSIGKIADIYAQQGITKQVKGTGLTELWDRTLEEVKAAGDQTIVFTNFVDFDSSYGHRRDVKGYADALEYFDSRLPELFELLEDGDVVVLTADHGCDPTWGGTDHTREYIPVLFYGKPVKAGSVGRRETFADIGQSIAAYHGLPKLAYGTSFL