A5VQK8 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiauaif44foev3gd5r6hlxjkiub3yfaxzbto6kuib2t7bvb5hj7otm/metadata.json
IPFS of structure file: 
bafybeidqmr2k5m4icxihx5foeks556qd4z4n43e75zgdwg3n4o5mtastpe/AF-A5VQK8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4312c32c7eA2564E3D5896f13870F2A4F29Ec1f2
First NFT owner address (bech32): 
genesis1gvfvxtr75ftyu02cjmcnsu8j5nefas0j0lkhj9
Current NFT ID #532220 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532220
Accession (UniProt):
A5VQK8
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
BRUCELLA OVIS (STRAIN ATCC 25840 / 63/290 / NCTC 10512)

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 A5VQK8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A5VQK8|YIDD_BRUO2 Putative membrane protein insertion efficiency factor OS=Brucella ovis (strain ATCC 25840 / 63/290 / NCTC 10512) OX=444178 GN=BOV_1039 PE=3 SV=1 MGSCGGKHTGKGAPKPYSRNFTDPWRKTPGRLFGTALIRFYQITLSSLIGNSCRHLPTCSEYAYEAIARHGLWRGGWMGFFRVVRCGPFGTHGFDPVPRELSPDLKWYMPWRYWRCSASRTGK