P9WJ65 AF NFT

Anti-sigma-M factor RsmA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigodvz27ddjd4jowr5x7bkm2hxvbhjf5wjcx6bwkllohme6o2gltm/metadata.json
IPFS of structure file: 
bafybeiddv2ocrz5ywamskpq3r4goqddoscr6zxh7rpabjeggnxycnqzaou/AF-P9WJ65-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1809854595B6549DcFcCEcDF9706AC2d1a0E0E17
First NFT owner address (bech32): 
genesis1rqyc23v4ke2fmn7van0ewp4v95dqurshtgegq5
Current NFT ID #411342 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
411342
Accession (UniProt):
P9WJ65
Name::
Anti-sigma-M factor RsmA
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 P9WJ65 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WJ65|RSMAF_MYCTU Anti-sigma-M factor RsmA OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=rsmA PE=3 SV=1 MSAADKDPDKHSADADPPLTVELLADLQAGLLDDATAARIRSRVRSDPQAQQILRALNRVRRDVAAMGADPAWGPAARPAVVDSISAALRSARPNSSPGAAHAARPHVHPVRMIAGAAGLCAVATAIGVGAVVDAPPPAPSAPTTAQHITVSKPAPVIPLSRPQVLDLLHHTPDYGPPGGPLGDPSRRTSCLSGLGYPASTPVLGAQPIDIDARPAVLLVIPADTPDKLAVFAVAPHCSAADTGLLASTVVPRA