Q65PH2 AF NFT

Putative septation protein SpoVG

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigzpze3kshvpd7xs5gru2tjpzorwfcabikjcez37qbhfm25p425jq/metadata.json
IPFS of structure file: 
bafybeihjt7ied4uzrvqquslgmtfm4zs3hc77dik22zy54hkbdtm2y3hnvq/AF-Q65PH2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2d26a86cbE380Fd92850FC0D1EFb1fe1c7915b16
First NFT owner address (bech32): 
genesis195n2sm978q8aj2zslsx3a7clu8rezkckz477f3
Current NFT ID #433477 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
433477
Accession (UniProt):
Q65PH2
Name::
Putative septation protein SpoVG
Experimental Method:
Predicted structure
Sequence source:
Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46)

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 Q65PH2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65PH2|SP5G_BACLD Putative septation protein SpoVG OS=Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46) OX=279010 GN=spoVG PE=3 SV=1 MEVTDVRLRRVNTDGRMRAIASITLDHEFVVHDIRVIDGNNGLFVAMPSKRTPDGEFRDIAHPINSSTRGKIQDAVLNEYHRLGDVEEIEYEEIGAS