Adamax
aka N-acetyl Semax amidate adamantylated
Mechanism
Adamax is a grey-market nootropic peptide developed and sold by the Mexico-based vendor Ceretropic. It is marketed as a Semax derivative: N-acetyl Semax amide (Ac-MEHFPGP-NH2) with an adamantane (adamantyl-glycine) moiety appended at the C-terminus, reportedly intended to improve metabolic stability and blood-brain-barrier penetration. It is NOT an ADNP / NAP / davunetide analog despite some online descriptions conflating it with those compounds. Adamax has no indexed peer-reviewed literature of its own; all claimed effects are extrapolated from Semax data plus anecdotal user reports.
Identification
| Sequence | MEHFPGPAG |
|---|---|
| Typical dose | 100–300 mcg/day intranasal |
| Half-life | Several hours (extended vs. Semax's ~30–60 min; exact value not established) |
Vendors selling Adamax
| Vendor | Size | Price | Listed purity | Trust |
|---|---|---|---|---|
| Glacier Aminos | 10 mg | $64.99 | — | 99 |
| Orbitrex Peptides | 10 mg | $270.00 | — | 95 |
| Ion Peptide | 10 mg | $75.00 | — | 95 |
| Ion Peptide | 10 mg | $69.00 | — | 95 |
| Mile High Compounds | — | $79.99 | — | 94 |
| Skye Peptides | 10 mg | $69.00 | — | 90 |
| Peptidology | 10 mg | $59.99 | — | 89 |
| Verified Peptides | 10 mg | $75.99 | — | 86 |
| Certified Peptides | 10 mg | $180.00 | — | 62 |
| NG Peptide | — | $55.00 | — | — |
| Ruo Bio | 5 mg | $42.00 | — | — |
| Atomik Labz | 10 mg | $79.00 | — | — |
| Flawless Compounds | 10 mg | — | — | — |
| Genetic Peptide | 5 mg | $50.00 | — | — |
| Nextech Labs | 12 mg | $90.00 | — | — |
| Peptira | — | $69.00 | — | — |
| Puratek Peptides | 5 mg | $49.95 | — | — |
| Solution Peptides | 10 mg | $79.00 | — | — |
Research
Skin cancer is one of the most prevalent and potentially life-threatening cancers globally, making it a critical area of focus in medical research. Early detection, followed by timely and appropriate treatment, can significantly enhance patient survival outcomes.
source →Natural rubber harvesting remains highly dependent on manual labor, particularly during latex cup collection, which limits efficiency and increases operational costs. Intelligent robotic harvesting systems require accurate visual perception and reliable grasp point positioning under rubber plantation environments.
source →The noise of Magnetic Resonance Imaging (MRI) poses challenges for Deep Learning (DL) when tumor boundaries are obscured, tumor location and appearance are complex due to overlap between tumor and non-tumor cells, and modality identification is difficult because tumor features vanish in the later layers of the DL.
source →Background Accurate real-time prediction of blood glucose (BG) levels is essential for improving insulin-dosing decision support systems, including closed-loop insulin delivery and bolus calculators.
source →With the recent advances in machine learning (ML) and artificial intelligence (AI), data-driven modeling approaches for pharmacokinetics (PK) and pharmacodynamics (PD) have gained popularity due to their versatility in diverse settings and reduced reliance on prior assumptions.
source →Short-Term Load Forecasting (STLF) is essential for the reliable and economic operation of modern power systems. Deep Residual Networks (DRNs) have emerged as an effective framework for STLF due to their ability to model nonlinear and multi-scale load patterns.
source →With the rapid development of the furniture industry, automatic classification of furniture images has become an important research area. However, this task faces several challenges, including complex image backgrounds, diverse furniture types, and varying forms.
source →Remote monitoring of fall actions or conditions and the everyday lifecycle of disabled losses is the vital drive of current telemedicine.
source →We propose a gradient descent method for solving optimization problems arising in settings of tropical geometry-a variant of algebraic geometry that has attracted growing interest in applications such as computational biology, economics, and computer science.
source →Artificial Intelligence tools are flourishing in biomedical diagnosis, particularly in oncology. The prediction of skin cancer from dermoscopic images using deep learning neural networks has gained importance in recent years because of their inherent early non-invasive diagnostic capabilities.
source →Cancer of bone marrow is classified as Acute Lymphoblastic Leukemia (ALL), an abnormal growth of lymphoid progenitor cells. It affects both children and adults and is the most predominant form of infantile cancer.
source →Software-Defined Networking (SDN) offers centralized control and programmability, transforming network management but also introducing vulnerabilities, particularly to Distributed Denial of Service (DDoS) attacks that can overwhelm the control plane and disrupt network functionality.
source →