A1ALG7 AF NFT

UPF0313 protein Ppro_0556

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifrkhweryv4drib76cvo3jffdcsaba475bpf7gusj4i5pjdsr2tlm/metadata.json
IPFS of structure file: 
bafybeigcumutm7ntbl25hf4dlvgqja2bdkdjurlvdpwc4cumnpdvhzmnuy/AF-A1ALG7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3298b100681D3A2372Bba3b2f282750dD71629B9
First NFT owner address (bech32): 
genesis1x2vtzqrgr5azxu4m5we09qn4pht3v2de5478nd
Current NFT ID #519568 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
519568
Accession (UniProt):
A1ALG7
Name::
UPF0313 protein Ppro_0556
Experimental Method:
Predicted structure
Sequence source:
Pelobacter propionicus (strain DSM 2379 / NBRC 103807 / OttBd1)

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 A1ALG7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A1ALG7|Y556_PELPD UPF0313 protein Ppro_0556 OS=Pelobacter propionicus (strain DSM 2379 / NBRC 103807 / OttBd1) OX=338966 GN=Ppro_0556 PE=3 SV=1 MAFIPTTRSEMHRRGWEQLDVIFVNGDAYVDHPAFGVPLLARWLEKHGFRVGVIAQPDWRSVEPFMALGRPRLFFAASAGAMDSMVAHYTPARKLRHDDAYTPGNRHGARPNRATLIYTSRLKEAFRDVPVVIGGIEASLRRFAHYDYWENRVRRSLLFDAKADLLLYGMAERSMLELAQRMGRGESLADIRGLRGTCWVEKAGHHLTDHLEIPCFEECGSDRLKFAEAFRLASREQNPYNGRTIVQRHGDRLLVCAPPSLPLEEAEMDSLYALPFEKAPHPSYGETIPAWEQIRCSITSHRGCFGGCSFCAIAMHQGKLIQSRGQSSVESEIRELVRKPWFRGSISDIGGPTANMYGLSCGDSAAMKCCRRESCLFPKQCRHLIVDDRRAVRLLHAARDFAGVRHVAVSSGVRYDLLERQPAYCRELIAHHVGGLLKVAPEHLVERVTMLMRKPGLAVFERFLSRFREESRRLGKPQGIVPYLISGHPGCSLADMLELALALQRLGLRVEQVQDFTPTPGTCATCMYYSGIDPETGEKLYVATSDREKGLQKALLLGHLPGERKKVLEALALLGREELATVLLTAGRSEAVSAKRPHSVGQGVIHPGRERKAGRGKGTKKAR