Adamax
Also known as: BDNF fragment peptide, neuropeptide cognitive enhancer, Adamax nootropic
Adamax is a synthetic neuropeptide related to brain-derived neurotrophic factor (BDNF) signaling pathways. It is explored for cognitive enhancement, neuroprotection, and mood support, with proposed mechanisms involving TrkB receptor activation and enhancement of neuroplasticity similar to endogenous BDNF.
Half-Life
Estimated 1-3 hours (short; peptide degradation)
Route
Subcutaneous, Intranasal (research)
Category
Cognitive Enhancement
Studies
34 references
Key Benefits
- Proposed enhancement of learning and memory consolidation
- Neuroprotective via BDNF-TrkB pathway support
- May improve mood and resilience to stress
- Potential support for neurogenesis
- Cognitive clarity and focus enhancement (reported anecdotally)
- Explored for neurodegeneration and age-related cognitive decline
Mechanism of Action
Adamax is believed to act as a partial BDNF mimetic, engaging TrkB (tropomyosin receptor kinase B) signaling to activate CREB (cAMP response element-binding protein) and downstream expression of plasticity genes including Arc, BDNF, and synapsin-1. This supports long-term potentiation (LTP), synaptic strengthening, and the neurochemical substrate of learning and memory. Research is limited and largely preclinical.
Dosing Protocols
Cognitive Enhancement (Research)
- Dose
- 200-400 mcg per dose
- Frequency
- Once daily or every other day
- Timing
- Morning to avoid sleep disruption
- Cycle
- 4-8 weeks with breaks; long-term safety unknown
Research compound with limited clinical data. Source from reputable peptide suppliers with purity verification. Stack with other nootropic peptides like Semax or Selank cautiously due to additive CNS effects.
Calculate your draw volume
Enter your vial size and BAC water to get exact injection volumes
Side Effects
- Limited human safety data; largely anecdotal reports
- Possible headache or mild overstimulation
- Sleep disruption with late-day dosing
- Unknown long-term safety profile
Contraindications
Insufficient safety data for clinical recommendationsAvoid combining with other TrkB-active compounds without medical supervisionPregnancy and breastfeeding: contraindicated due to lack of data
Storage
Lyophilized powder: store at -20 degrees C, protected from light. Reconstituted solution: refrigerate at 2-8 degrees C and use within 30 days. Avoid repeated freeze-thaw cycles.
Clinical Research
- 1.Artificial Intelligence-based fine-tuning model for fall activity recognition in disabled persons within an IoT environment
Alzahrani A, Al-Dayil R, Alghanim AG, Sharif MM · Scientific reports · 2025PubMed Verified
- 2.Effective skin cancer classification by modified and optimized inception-ResNet-V2 model
Umapathi K, Vanithamani R, Priya L, Harini K, Dadi M, Dixit S et al. · Scientific reports · 2025PubMed Verified
- 3.Neural Controlled Differential Equation and Its Application in Pharmacokinetics and Pharmacodynamics
Wu Z, Luo P, Chen R, Liu Y, Jian W, Zhou T · CPT: pharmacometrics & systems pharmacology · 2026PubMed Verified
- 4.End-to-end CNN-based detection of permanent first molars and prediction of root development stages from panoramic radiographs
Kayaci ST, Ilhan HO, Serbes G, Arslan H · Scientific reports · 2025PubMed Verified
- 5.PerturbSynX: Deep learning framework for predicting drug combination synergy scores using drug induced gene perturbation data
C A H, A S J · Computational biology and chemistry · 2026PubMed Verified
- 6.Enhancing SDN security with deep learning and F-balanced cross-entropy for DDoS detection
Naeen HM, Ghadamyari M, Barmar M · Scientific reports · 2025PubMed Verified
- 7.Research on furniture image classification based on MobileNetNAK
Zhang D, Zhai Y, Li P, Yang F, Du R · PeerJ. Computer science · 2025PubMed Verified
- 8.Bayesian optimized CNN ensemble for efficient potato blight detection using fuzzy image enhancement
Jain A, Dubey AK, Pan VS, Mahfoudh S, Althaqafi TA, Arya V et al. · Scientific reports · 2025PubMed Verified
- 9.Adaptive Learning Rate Methods for Complex-Valued Neural Networks
Mayer KS, Soares JA, Cruz AA, Arantes DS · IEEE transactions on neural networks and learning systems · 2025PubMed Verified
- 10.Deep learning model for early acute lymphoblastic leukemia detection using microscopic images
Anand V, Bachhal P, Koundal D, Dhaka A · Scientific reports · 2025PubMed Verified
- 11.Augmented Multimodal Fusion for Optimized Brain Tumor Detection: Evaluation and Comparative Analysis
Tuteja P, Arora S, Bhardwaj A, Wani NA, Ahmad N, Alshara M et al. · Journal of visualized experiments : JoVE · 2025PubMed Verified
- 12.Improving TMJ Diagnosis: A Deep Learning Approach for Detecting Mandibular Condyle Bone Changes
Azlağ Pekince K, Pekince A, Kazangirler BY · Diagnostics (Basel, Switzerland) · 2025PubMed Verified
- 13.Brain tumor classification using fine-tuned transfer learning models on magnetic resonance imaging (MRI) images
Rasa SM, Islam MM, Talukder MA, Uddin MA, Khalid M, Kazi M et al. · Digital health · 2024PubMed Verified
- 14.Leveraging electrocardiography signals for deep learning-driven cardiovascular disease classification model
Alqahtani H, Aldehim G, Alruwais N, Assiri M, Alneil AA, Mohamed A · Heliyon · 2024PubMed Verified
- 15.Optimizing home energy management: Robust and efficient solutions powered by attention networks
Nutakki M, Mandava S · Heliyon · 2024PubMed Verified
- 16.Indoor surface classification for mobile robots
Demirtaş A, Erdemir G, Bayram H · PeerJ. Computer science · 2024PubMed Verified
- 17.An intelligent LinkNet-34 model with EfficientNetB7 encoder for semantic segmentation of brain tumor
Sulaiman A, Anand V, Gupta S, Al Reshan MS, Alshahrani H, Shaikh A et al. · Scientific reports · 2024PubMed Verified
- 18.Using meta-analysis and CNN-NLP to review and classify the medical literature for normal tissue complication probability in head and neck cancer
Lee TF, Hsieh YW, Yang PY, Tseng CH, Lee SH, Yang J et al. · Radiation oncology (London, England) · 2024Meta-AnalysisPubMed Verified
- 19.Signal-to-noise ratio to assess magnitude, kinetics and impact on pharmacokinetics of the immune response to an adalimumab biosimilar
Guerrieri D, Horvat M, Fan J, Wang J, Lemke L, Richter OV et al. · Bioanalysis · 2024PubMed Verified
- 20.Automatic Calibration of Microscopic Traffic Simulation Models Using Artificial Neural Networks
Daguano RF, Yoshioka LR, Netto ML, Marte CL, Isler CA, Santos MMD et al. · Sensors (Basel, Switzerland) · 2023PubMed Verified
- 21.An Intelligent Attention-Based Transfer Learning Model for Accurate Differentiation of Bone Marrow Stains to Diagnose Hematological Disorder
Alshahrani H, Sharma G, Anand V, Gupta S, Sulaiman A, Elmagzoub MA et al. · Life (Basel, Switzerland) · 2023PubMed Verified
- 22.Enhancing accuracy in brain stroke detection: Multi-layer perceptron with Adadelta, RMSProp and AdaMax optimizers
Uppal M, Gupta D, Juneja S, Gadekallu TR, El Bayoumy I, Hussain J et al. · Frontiers in bioengineering and biotechnology · 2023PubMed Verified
- 23.A hybrid deep learning-based intrusion detection system for IoT networks
Khan NW, Alshehri MS, Khan MA, Almakdi S, Moradpoor N, Alazeb A et al. · Mathematical biosciences and engineering : MBE · 2023PubMed Verified
- 24.A two-stage renal disease classification based on transfer learning with hyperparameters optimization
Badawy M, Almars AM, Balaha HM, Shehata M, Qaraad M, Elhosseini M · Frontiers in medicine · 2023PubMed Verified
- 25.Hyperparameter Optimizer with Deep Learning-Based Decision-Support Systems for Histopathological Breast Cancer Diagnosis
Obayya M, Maashi MS, Nemri N, Mohsen H, Motwakel A, Osman AE et al. · Cancers · 2023PubMed Verified
- 26.Comparing Prediction of Early TBI Mortality with Multilayer Perceptron Neural Network and Convolutional Neural Network
Guimaraes KAA, Costa MGF, Amorim RL, Filho CFFC · Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2022PubMed Verified
- 27.SkinNet-16: A deep learning approach to identify benign and malignant skin lesions
Ghosh P, Azam S, Quadir R, Karim A, Shamrat FMJM, Bhowmik SK et al. · Frontiers in oncology · 2022PubMed Verified
- 28.A New Intrusion Detection System for the Internet of Things via Deep Convolutional Neural Network and Feature Engineering
Ullah S, Ahmad J, Khan MA, Alkhammash EH, Hadjouni M, Ghadi YY et al. · Sensors (Basel, Switzerland) · 2022PubMed Verified
- 29.Emotion Analysis Model of Microblog Comment Text Based on CNN-BiLSTM
Li A, Yi S · Computational intelligence and neuroscience · 2022PubMed Verified
- 30.Automatic Impervious Surface Area Detection Using Image Texture Analysis and Neural Computing Models with Advanced Optimizers
Hoang ND · Computational intelligence and neuroscience · 2021PubMed Verified
- 31.Mine Gas Concentration Forecasting Model Based on an Optimized BiGRU Network
Liang R, Chang X, Jia P, Xu C · ACS omega · 2020PubMed Verified
- 32.Comparative Analysis of Machine Learning Models for Nanofluids Viscosity Assessment
Shateri M, Sobhanigavgani Z, Alinasab A, Varamesh A, Hemmati-Sarapardeh A, Mosavi A et al. · Nanomaterials (Basel, Switzerland) · 2020PubMed Verified
- 33.State-of-the-Art CNN Optimizer for Brain Tumor Segmentation in Magnetic Resonance Images
Yaqub M, Jinchao F, Zia MS, Arshid K, Jia K, Rehman ZU et al. · Brain sciences · 2020PubMed Verified
- 34.Diagnosis of Autism Spectrum Disorders in Young Children Based on Resting-State Functional Magnetic Resonance Imaging Data Using Convolutional Neural Networks
Aghdam MA, Sharifi A, Pedram MM · Journal of digital imaging · 2019PubMed Verified
Medical disclaimer: This information is for educational purposes only and does not constitute medical advice. Many compounds listed are research chemicals not approved for human use. Always consult a qualified healthcare professional before starting any protocol.
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