Q7VNS7 AF NFT | MOLNFT bioinformatics, blockchain

Protein RecA

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeiapqo3xzx5ucxppyqo32bwj7dnq6vzbr7de6cxcesi6byb3rfkyl4/metadata.json

IPFS of structure file:

bafybeia56or2no52peqlfjq7fnukfo6z3ls6f2g4ihy5ziis2na3ovi3h4/AF-Q7VNS7-F1-model_v2.pdb

First NFT owner address (eip-55):

0xFfdda12F81300c334dA5663cd65680B4a9a77303

First NFT owner address (bech32):

genesis1llw6ztupxqxrxnd9vc7dv45qkj56wucrcgj4a0

Current NFT ID #336314 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
336314
Accession (UniProt):
Q7VNS7
Name::
Protein RecA
Experimental Method:
Predicted structure
Sequence source:
Haemophilus ducreyi (strain 35000HP / ATCC 700724)

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 Q7VNS7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7VNS7|RECA_HAEDU Protein RecA OS=Haemophilus ducreyi (strain 35000HP / ATCC 700724) OX=233412 GN=recA PE=3 SV=1 MAADKKAQKNTATKQIDPEQKEKALAAALAQIEKQFGKGSIMRLGDTQALDIEAVSTGSIGLDAALGIGGLPMGRIVEIYGPESSGKTTLTLSVIAQAQRIGKTCAFIDAEHALDPVYARKLGVDIDALLISQPDNGEQALEICDALVRSGAVDVIIVDSVAALTPKAEIEGDMGDSYMGLQARLMSQALRKLTANIKATNCLVVFINQIRMKIGVMFGNPETTTGGNALKFYASVRLDIRRSGVVKDGDEVVGSETKVKIVKNKVAPPFREVQFDIMYGEGIARMNELLILAEANGFIQKAGAWFSYNGTKIGQGKNNAIKWLKENPEVAEKIEQEIRNLLILTPDQPASEKLELDVNDESDFDEAFEEQE