A0KJK9 AF NFT

Succinate--CoA ligase [ADP-forming] subunit beta

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig23ugi4pvr3yusp3cueq5jztfugalpgoqegd422bv3rnfapw7xmy/metadata.json
IPFS of structure file: 
bafybeihhyddoinb5ahg23vd6ms3tknlxvrxqvycfemp64wwt2tu2bwnqmu/AF-A0KJK9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbff27Dc0a932A6E0d9Fe883AAbD1BF27bB95A69F
First NFT owner address (bech32): 
genesis1hle8ms9fx2nwpk073qa2h5dly7aetf5lctcm7h
Current NFT ID #440601 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
440601
Accession (UniProt):
A0KJK9
Name::
Succinate--CoA ligase [ADP-forming] subunit beta
Experimental Method:
Predicted structure
Sequence source:
Aeromonas hydrophila subsp. hydrophila (strain ATCC 7966 / DSM 30187 / BCRC 13018 / CCUG 14551 / JCM 1027 / KCTC 2358 / NCIMB 9240 / NCTC 8049)

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 A0KJK9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0KJK9|SUCC_AERHH Succinate--CoA ligase [ADP-forming] subunit beta OS=Aeromonas hydrophila subsp. hydrophila (strain ATCC 7966 / DSM 30187 / BCRC 13018 / CCUG 14551 / JCM 1027 / KCTC 2358 / NCIMB 9240 / NCTC 8049) OX=380703 GN=sucC PE=3 SV=1 MNLHEYQAKQLFAEYGLPVSEGYACATPQEAAEAADKIGGNTWVVKCQVHAGGRGKAGGVKLAKSKDEIRAFAQNWLGKNLVTYQTDANGQPVTKILVESCTDIAKELYLGAVVDRGSRRVVFMASTEGGVEIEKVAHETPELIHKAALDPLVGPQPYQARELAFKLGLVGEQIKQFTKIFMGLGQMFLDCDFALLEINPLVITAQGNLHCLDGKINIDANALYRQPKLRQMHDPSQDDPREAHAAQWELNYVALDGNIGCMVNGAGLAMGTMDIVNLHGGSPANFLDVGGGATKERVTEAFKIILSDSKVQAVLVNIFGGIVRCDMIAEGIIGAVKEVGVKVPVVVRLEGNNAELGARKLADSGLNIIAATSLTDAAQQVVKAAEAK