A9R0V9 AF NFT

Protein RecA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibpvh4ngzlhb3gdkipn5jjvzjxy5thtjit5owlw32usmae3bfhpfy/metadata.json
IPFS of structure file: 
bafybeiabngfa6ysxcjjtzr3cqtzkb7osm4ent5qs5gmyg6wxwbswgkn6ou/AF-A9R0V9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd640e0Ab714Ec43DD946c544144F9045dd7C9133
First NFT owner address (bech32): 
genesis16eqwp2m3fmzrmk2xc4zpgnusghwheyfnpquzm6
Current NFT ID #336735 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
336735
Accession (UniProt):
A9R0V9
Name::
Protein RecA
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Angola)

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 A9R0V9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9R0V9|RECA_YERPG Protein RecA OS=Yersinia pestis bv. Antiqua (strain Angola) OX=349746 GN=recA PE=3 SV=1 MAIDENKQKALAAALGQIEKQFGKGSIMRLGEDRSMDVETISTGSLSLDIALGAGGLPMGRIVEIYGPESSGKTTLTLQVIAAAQREGKTCAFIDAEHALDPIYAKKLGVDIDNLLCSQPDTGEQALEICDALTRSGAVDVIIVDSVAALTPKAEIEGEIGDSHMGLAARMMSQAMRKLAGNLKNANTLLIFINQIRMKIGVMFGNPETTTGGNALKFYASVRLDIRRIGAVKDGDVVVGSETRVKVVKNKIAAPFKQAEFQILYGEGININGELVDLGVKHKLIEKAGAWYSYNGDKIGQGKANASNYLKENPAIAAELDKKLREMLLNGGNGEQPVAAATAEFADGADETNEEF