Q0SP32 AF NFT

Protein RecA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidaia47icobjbazhu2mjgufgwojdbjxzwlfo3hrpgfob3t2dkif44/metadata.json
IPFS of structure file: 
bafybeigwmikbtxdfxmu22smljavdffukqvt3s77bmfdrultnnoadipsdba/AF-Q0SP32-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB40AA7C27d628874C1f2620446785F8B176081EC
First NFT owner address (bech32): 
genesis1ks920snav2y8fs0jvgzyv7zl3vtkpq0vawp7pj
Current NFT ID #336149 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
336149
Accession (UniProt):
Q0SP32
Name::
Protein RecA
Experimental Method:
Predicted structure
Sequence source:
Borreliella afzelii (strain PKo)

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 Q0SP32 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0SP32|RECA_BORAP Protein RecA OS=Borreliella afzelii (strain PKo) OX=390236 GN=recA PE=3 SV=1 MSKLKEKREKVAVSIERSSKEEAVELARVQIEKTFGKGSLIKMGESPVGKGIKSISSGSIVLDEALGIGGYPRGRIIEIFGPESSGKTTLTLQAIAEVQKEGGIAAFIDAEHALDPVYAKALGVNVAELWLSQPDTGEQALEIAEHLIRSGGIDLIVVDSVAALTPKLEIDGEMGDSQIGLQARLMSKALRKITGILSKSNTCIMFINQIRMRIGIMFGNPETTTGGNALKFYASLRLEVRKVEQITRSGSSDDVIGNKIRVKIVKNKVAPPFRKVELVIYFGKGISREAGILDAAIKHNLIQKTGSWYSLGDNKLGQGRESVIEYLSKEVELTNDLDKRLRKVIFNNFDQEDVSFIEYKENESE