Q5RAS7 AF NFT

AMME syndrome candidate gene 1 protein homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifs3vzxb5n32y35qt65xnldbo2pqsqaivbixyugrp23nxmzuiso7a/metadata.json
IPFS of structure file: 
bafybeifw3obv5hbx22ljfasru3w6e52dkcuuzz3x7uk7llaqwwussrpwne/AF-Q5RAS7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9bF5F84C75690a56a78965Df98E262fC9c087f0C
First NFT owner address (bech32): 
genesis1n06lsnr4dy99dfufvh0e3cnzljwqslcvfyc43z
Current NFT ID #14873 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
14873
Accession (UniProt):
Q5RAS7
Name::
AMME syndrome candidate gene 1 protein homolog
Experimental Method:
Predicted structure
Sequence source:
Pongo abelii

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 Q5RAS7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5RAS7|AMMR1_PONAB AMME syndrome candidate gene 1 protein homolog OS=Pongo abelii OX=9601 GN=AMMECR1 PE=2 SV=1 MAAGCCGVKKQKLSSSPPSGSGGGGDASSSSHCSGESQCRAGELGLGGAGTRLNGLGGLTGGGSGSGCTLSPPQGCGGGGGGIALSPPPSCGVGTLLSTPAAATSSSPSSSSAASSSSPGSRKMVVSAEMCCFCFDVLYCHLYGYQQPRTPRFTNEPYPLFVTWKIGRDKRLRGCIGTFSAMNLHSGLREYTLTSALKDSRFPPMTRDELPRLFCSVSLLTNFEDVCDYLDWEVGVHGIRIEFINEKGSKRTATYLPEVAKEQGWDHIQTIDSLLRKGGYKAPITNEFRKTIKLTRYRSEKMTLSYAEYLAHRQHHHFQNGIGHPLPPYNHYS