Q8NR12 AF NFT

Ribose import ATP-binding protein RbsA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih4d5acvecci6gi644zf2qo6av5bjbsgdjnxswioedobuvowv6bau/metadata.json
IPFS of structure file: 
bafybeidza3chdui5lvppso2b6kutywinxhmg64hk5wuqrkdng3c76mbne4/AF-Q8NR12-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7012c0b45c68a2c067644b9d3e5DDa06892c6957
First NFT owner address (bech32): 
genesis1wqfvpdzudz3vqemyfwwnuhw6q6yjc62hg2ks0z
Current NFT ID #335000 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
335000
Accession (UniProt):
Q8NR12
Name::
Ribose import ATP-binding protein RbsA
Experimental Method:
Predicted structure
Sequence source:
Corynebacterium glutamicum (strain ATCC 13032 / DSM 20300 / BCRC 11384 / JCM 1318 / LMG 3730 / NCIMB 10025)

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 Q8NR12 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8NR12|RBSA_CORGL Ribose import ATP-binding protein RbsA OS=Corynebacterium glutamicum (strain ATCC 13032 / DSM 20300 / BCRC 11384 / JCM 1318 / LMG 3730 / NCIMB 10025) OX=196627 GN=rbsA PE=3 SV=1 MVNSEQALHQHDPAPILQLDKVSKSFGPVNVINQVSIDVRPGRVLALLGENGAGKSTLIKMMSGVYQPDGGQILVDGKPTTLPDTKTAESFGIATIHQELNLVPTMTVAENVMLGRTPRKWGLVNFKHLRRQAQAALDLIGVDVDLNAQVGSLGIARQQMVEIAKALSMNARILILDEPTAALTGREIDQLFKVVDQLKEKGVAMVFISHHLDEIARIGDTVSVLRDGQFIAELPADTDEDELVRLMVGRSIENQYPRSAPEIGQPLLEVKNLNAEGRFTDISLTVRAGEVVGLAGLVGAGRTEVVRSIAGVDKVDSGEVIVAGKKLRGGDISEAIKNGIGHIPEDRKAQGLVLGSSVEDNLGLATLASTARAGLVDRSGQHKRAAEVAEKLRIRMASLKQPISDLSGGNQQKAVFGRWVLAGSNVLLLDEPTRGVDVGAKVEIYNIINEMTEKGGAVLMVSSELPEVLGMADRILVMSGGRIAGELPAKGTTQDDVMALAVSQVDDSITEEAAAEIENTKEDR