P9WL67 AF NFT

Uncharacterized protein Rv2627c

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicjujvla3yc6lfalc2jiwaxtmvgfdwvweh4taw73ofxitpjwrd3fe/metadata.json
IPFS of structure file: 
bafybeihi3xmaepl2akbkuha5rpqhwlf2p3hgrly75hoabpu5jxlty37e4e/AF-P9WL67-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xcb1EC5B5B6ffa5F727AeFD9fa20a78E85ca3141c
First NFT owner address (bech32): 
genesis1ev0vtddkl7jlwfawlk06yzncapw2x9qu60jgsf
Current NFT ID #513098 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
513098
Accession (UniProt):
P9WL67
Name::
Uncharacterized protein Rv2627c
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN ATCC 25618 / H37RV)

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 P9WL67 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WL67|Y2627_MYCTU Uncharacterized protein Rv2627c OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=Rv2627c PE=1 SV=1 MASSASDGTHERSAFRLSPPVLSGAMGPFMHTGLYVAQSWRDYLGQQPDKLPIARPTIALAAQAFRDEIVLLGLKARRPVSNHRVFERISQEVAAGLEFYGNRRWLEKPSGFFAQPPPLTEVAVRKVKDRRRSFYRIFFDSGFTPHPGEPGSQRWLSYTANNREYALLLRHPEPRPWLVCVHGTEMGRAPLDLAVFRAWKLHDELGLNIVMPVLPMHGPRGQGLPKGAVFPGEDVLDDVHGTAQAVWDIRRLLSWIRSQEEESLIGLNGLSLGGYIASLVASLEEGLACAILGVPVADLIELLGRHCGLRHKDPRRHTVKMAEPIGRMISPLSLTPLVPMPGRFIYAGIADRLVHPREQVTRLWEHWGKPEIVWYPGGHTGFFQSRPVRRFVQAALEQSGLLDAPRTQRDRSA