Q65ML7 AF NFT

GTP cyclohydrolase FolE2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigoi3dctc2n6gqtoa3c7ispocw6j3nbabjtu42cgfk7ty2swmlbui/metadata.json
IPFS of structure file: 
bafybeica7ourxln7f7ibiw44mmanufx2kgvc7ss2japq7bzbgfcjezwaka/AF-Q65ML7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa73BAb1DabE4333A884D03393eAa10c3B4215494
First NFT owner address (bech32): 
genesis15ua6k8dtusen4zzdqvuna2sscw6zz4y5hahjw0
Current NFT ID #143935 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
143935
Accession (UniProt):
Q65ML7
Name::
GTP cyclohydrolase FolE2
Experimental Method:
Predicted structure
Sequence source:
Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46)

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 Q65ML7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65ML7|GCH4_BACLD GTP cyclohydrolase FolE2 OS=Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46) OX=279010 GN=folE2 PE=3 SV=1 MERKLHLPAKPERHRRFGSVEAVKGIKPTDKEQMKDIQNTPNDYFFDIDHVGVSNVSHPILIASSLKPFTQTTIGAFSFTTSLARDRKGINMSRLTEQLQRYHEANWTVDFHTLKDFAKDLAGNMEQESASVSVSFPWYFERISPETKLSGLMHADIHMTVSYHENKGFSQTAGITAHATTLCPCSKEISEYSAHNQRGIIKITAHINEQAEMPDDFKAELLAAAETNASAKLHPVLKRPDEKRVTEQAYENPRFVEDVLRLTAADLYEMDWISAFEIECRNEESIHLHDAVARLSFSKC