A0RHI2 AF NFT

Ribosome-binding factor A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigj26qhee3f5hazrg7hcsr3gkzfgjs5jemg7f7tzbeyxj5epa5ln4/metadata.json
IPFS of structure file: 
bafybeiaavtr2wk4d67b7whxhpia5j5eqeqkgmjuobjaqbxxdrkdiit4spu/AF-A0RHI2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x738c1929c69B751bD0Be0B962D9bac20B631aAc6
First NFT owner address (bech32): 
genesis1wwxpj2wxnd63h597pwtzmxavyzmrr2kx0xhph5
Current NFT ID #333189 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
333189
Accession (UniProt):
A0RHI2
Name::
Ribosome-binding factor A
Experimental Method:
Predicted structure
Sequence source:
Bacillus thuringiensis (strain Al Hakam)

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 A0RHI2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0RHI2|RBFA_BACAH Ribosome-binding factor A OS=Bacillus thuringiensis (strain Al Hakam) OX=412694 GN=rbfA PE=3 SV=1 MKLRANRVGEQMKKELGDIISRKIKDPRVGFVTVTDVQVSGDLQIATVYISVLGDEEQKENTLKGLAKAKGFIRSEIGQRIRLRKTPEISFEFDESIGYGHRIDTLLHQINKDGKREE