bioRxivBioinformaticsPreprint
Protocol for clustering of non-unified protein sequences through memory-map guided deep learning
Abstract
Protocol established and validated for clustering of non-unified protein sequences through memorymap guided deep learning. Data evaluated belongs to the disease causing proteins/genes from human hormonal system. Possibilities for future experiments validation was found for genes as: ACTHR, AGMX1, ATK, BPK, DPDE3, ERBA2, FSHB, GH1, GHSR, GNAS1, GSP, HANF, LCGR, LGR2, LGR3, LHRHR, NR1A2, PKR1, PRKAR1, RNF216, SBP2, SECISBP2, THR1, THRB, TPIT, TRIAD3, TSE1, UBCE7IP1, XAP2, and ZIN. Protocol is recommended for implementation with small to large dataset (protein/ DNA/ RNA sequences of unified or non-unified length) with unclassified data flags.
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Sensitive clustering of protein sequences at tree-of-life scale using DIAMOND DeepClust
Benjamin Buchfink, Emile Barbe, … Hajk‐Georg Drost·Nature MethodsPeer-reviewed·Mar 24, 2026
- RabbitCD-HIT: Distributed High-Sensitivity Greedy Incremental Clustering for Billion-Scale Protein Sequences in Hours
Yijie Gao, Guiliang Ma, … Weiguo Liu·bioRxiv·Nov 9, 2026
- Clustering huge protein sequence sets in linear time
Martin Steinegger, Johannes Söding·Nature CommunicationsPeer-reviewed·Jun 25, 2018
- Protein Family Classification using Deep Learning
K S Naveenkumar, Babu R Mohammed Harun, … KP Soman·bioRxiv·Sep 11, 2018
- Cluster Analysis for Protein Sequences
Md Rafsan Jani·bioRxiv·Mar 14, 2025
- Protein Organization with Manifold Exploration and Spectral Clustering
Geoffroy Dubourg-Felonneau, Shahab Shams, … Lawrence Lee·bioRxiv·Dec 8, 2021