Q041J1 NH(3)-dependent NAD(+) synthetase MolNFT, Molecular NFT on GenesisL1

NH(3)-dependent NAD(+) synthetase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeiftmoj5yth75hbzsxxs7ln64xmmedytfyjmszesqg6iqnwrjczr4q/metadata.json

IPFS of structure file:

bafybeif3i2dxob4cg7y4taiypc7ngnkjzfhrznqf62uqiarq3l22zwulsy/AF-Q041J1-F1-model_v2.pdb

First NFT owner address (eip-55):

0x301d5A363B42a0830e9c585148Cf4D91Fb385a2f

First NFT owner address (bech32):

genesis1xqw45d3mg2sgxr5utpg53n6dj8ansk300d6tve

Current NFT ID #257252 owner (web3):

0x301d5A363B42a0830e9c585148Cf4D91Fb385a2f

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
257252
Accession (UniProt):
Q041J1
Name::
NH(3)-dependent NAD(+) synthetase
Experimental Method:
Predicted structure
Sequence source:
Lactobacillus gasseri (strain ATCC 33323 / DSM 20243 / BCRC 14619 / CIP 102991 / JCM 1131 / KCTC 3163 / NCIMB 11718 / NCTC 13722 / AM63)

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 Q041J1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q041J1|NADE_LACGA NH(3)-dependent NAD(+) synthetase OS=Lactobacillus gasseri (strain ATCC 33323 / DSM 20243 / BCRC 14619 / CIP 102991 / JCM 1131 / KCTC 3163 / NCIMB 11718 / NCTC 13722 / AM63) OX=324831 GN=nadE PE=3 SV=1 MRPLQEKIIAYEHVLPEIDPQKEIRKSIDFLKDYLKENPFLKSYVLGISGGQDSTLTGKLCQMAIEEMREETGDDSYQFIAVRLPYGVQADASDAADAIAFQKPDQDLIVNIKDPVDAMVKVVEATGQKITDFNKGNIKARQRMVVQYAIAGANNGAVVGTDHAAENFSGFYTKYGDGAADLTPLFRLDKRQGKAMLKELGCPKHLYEKAPTADLEEEKPDLPDEVALGVTYKEVDDYLEGKEVSEKAAEQIEKLWKKSEHKRHLPVTIFDDFYKKN

Q041J1 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q041J1 research and analysis (ICN3D with VR)

FASTA sequences

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