Q0RRN3 AF NFT

Holo-[acyl-carrier-protein] synthase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiemror4wmpovje2j4duzwrhjtbvtbwy6ei7hlmuvzr6yqci7fbz3i/metadata.json
IPFS of structure file: 
bafybeicuebfbv6miik2mc573u7okgxihmfe4je7h7bpnumykecy44qwpky/AF-Q0RRN3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7012c0b45c68a2c067644b9d3e5DDa06892c6957
First NFT owner address (bech32): 
genesis1wqfvpdzudz3vqemyfwwnuhw6q6yjc62hg2ks0z
Current NFT ID #6915 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
6915
Accession (UniProt):
Q0RRN3
Name::
Holo-[acyl-carrier-protein] synthase
Experimental Method:
Predicted structure
Sequence source:
Frankia alni (strain ACN14a)

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 Q0RRN3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0RRN3|ACPS_FRAAA Holo-[acyl-carrier-protein] synthase OS=Frankia alni (strain ACN14a) OX=326424 GN=acpS PE=3 SV=1 MAVVGVGVDVVDVDRFAATLSRTPGIAMRLFTPAERGLARPERLAARFAAKEAVAKVLGAPPGLEWHDAEVVLATGGRPSLRIRGTVAAAAQRLDIASWHLSLTHDGGVAIAMVVAES