A0A0H3CEP9 AF NFT

UPF0276 protein CCNA_03364

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibhscqgm62m2hcme4wa4kpnnmhjsu6pkyi3h4xm5hv63ztp5cawdy/metadata.json
IPFS of structure file: 
bafybeiglgjlvsqov5se6h2bupi3mge3wr2jdtp7y4cdacvehgwa7572fky/AF-A0A0H3CEP9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x429aA010A80A47FF4a2777bB34A2bba144d19df2
First NFT owner address (bech32): 
genesis1g2d2qy9gpfrl7j38w7anfg4m59zdr80jky6jnc
Current NFT ID #515163 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
515163
Accession (UniProt):
A0A0H3CEP9
Name::
UPF0276 protein CCNA_03364
Experimental Method:
Predicted structure
Sequence source:
CAULOBACTER VIBRIOIDES (STRAIN NA1000 / CB15N)

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 A0A0H3CEP9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0A0H3CEP9|Y3364_CAUVN UPF0276 protein CCNA_03364 OS=Caulobacter vibrioides (strain NA1000 / CB15N) OX=565050 GN=CCNA_03364 PE=2 SV=1 MTPSAGLGLKSQHYGDAIACDAEGLWFEVHPENYMSAGGPRLAALEAVRARRPVSLHGVGLSLAADTDPDPEHLQALKRLVDRFDPFVVSEHLAWSTHRGAHHPDLLPFPRTRAALDRICGNVARMQDALQRRVLIENPSLYLPLKGHALDEVDFLEALATRTGCGLLVDVNNVFVSAQNLGYAPETYLDALPAHAIGEIHLAGHAPDPGGSNLLIDTHGAPVAEVVWTLYARLIARIGPRPTLIERDDDIPDFAALMAERNRAVAVLASGQTAREPAHV