This is a working overview of aliquoting, written for readers who want more than a one-paragraph summary but less than a textbook.
Reviewed 2025-12-06. Anything still debated is marked as such rather than presented as settled.
Receipt and inventory practices begin with inspection of packaging, temperature indicators, and lot-specific documentation. A certificate of analysis typically reports purity, identity, and sometimes residual water or counterion content. Containers should be labeled with the peptide name, lot number, date received, and storage location. Before a sealed vial is opened, it is often equilibrated to room temperature to reduce condensation on the contents. Clean tools, gloves, and a designated workspace limit contamination and accidental adsorption losses.
Aliquoting reduces repeated temperature cycling for solutions and reconstituted samples. If a peptide is supplied as a powder, reconstitution usually involves adding a suitable solvent gently along the vial wall. Mixing by inversion or slow swirling is preferred over vortexing, which can create air-liquid interfaces that promote aggregation or foaming. The resulting solution should be inspected for clarity, particles, and color before storage. Labels on aliquots typically include concentration, solvent, date, and lot number, and open questions remain about the best solvent for every sequence.
Receiving a peptide begins with recording its identity, lot number, quantity, and arrival condition. Dry material is often kept in sealed containers with desiccant and an inert headspace to limit moisture and oxygen. Containers should be compatible with the peptide and solvent; some peptides adsorb to certain plastics or glass. Labels should include date, concentration, solvent, and storage location. A centralized inventory with temperature logs helps prevent loss and mix-ups.
Reconstitution involves adding a solvent to dry peptide, often water or a buffered solution. The chosen liquid should match the peptide's solubility and intended assay, and it should be free of contaminants. Gentle mixing or inversion reduces foaming and shear, which can damage some peptides. If the peptide does not dissolve readily, adjusting pH or using a small amount of organic co-solvent may help. The final solution is typically clarified before use in analytical or laboratory procedures.
| Property | Value | Notes |
|---|---|---|
| Common synonyms | Peptide, oligopeptide, polypeptide | Usage varies; polypeptide often implies a longer chain |
| Purity assessment | High-performance liquid chromatography | Often reversed-phase; reported as area percent with method and wavelength stated |
| Identity confirmation | Mass spectrometry | Observed mass compared with theoretical mass within instrument tolerance |
| Water content (lyophilized) | Karl Fischer titration | Residual moisture can affect stability and weighing accuracy |
| Container compatibility | Low-binding polypropylene | Glass may adsorb some peptides; plastic additives can leach |
Reconstitution is the process of dissolving a dried peptide in a suitable solvent. The choice of solvent depends on solubility, charge, and sequence; sterile water is common, while buffers or small amounts of organic solvent may be needed for hydrophobic peptides. Adding solvent gently down the vial wall and mixing by inversion or gentle swirling reduces foaming and shear. Vortexing or vigorous pipetting can denature some peptides or promote aggregation. The resulting solution should be visually inspected for particles, turbidity, and complete dissolution before use.
After reconstitution, solutions are usually divided into single-use aliquots to avoid repeated freeze-thaw cycles. Aliquots should be labeled with peptide identity, concentration, solvent, and date, then stored at the temperature specified by the supplier or protocol. Many peptides tolerate -20 °C for short periods, while -80 °C is preferred for longer storage. Frost-free freezers are generally avoided because temperature fluctuations can stress samples. Aseptic technique and sterile filters reduce microbial contamination, though filtration can also remove aggregated material or bind some peptides.
After reconstitution, solutions are divided into single-use aliquots and stored at -80°C. Labels include peptide name, concentration, buffer composition, date, and lot number. Freeze-thaw cycles are minimized by thawing only the needed aliquot on ice or at room temperature. Some peptides benefit from the addition of a carrier protein, such as bovine serum albumin, or a cryoprotectant like glycerol to reduce adsorption to plastic. Glass vials with low-binding surfaces are preferred for dilute solutions. Shipping of frozen aliquots uses dry ice and insulated containers to maintain the cold chain.
Receiving a peptide shipment requires immediate inspection of the packaging and temperature indicators. Any deviation from the specified cold chain should be documented and investigated. Upon arrival, solid peptides are generally kept at -20°C, whereas liquid formulations are stored at -80°C. Vials should be kept upright and protected from light. Repeated warming and cooling of the entire container is avoided by preparing smaller working aliquots. A log of lot numbers, receipt dates, and storage locations supports traceability and quality control.
Reconstitution is a critical handling step. The appropriate solvent—often sterile water, phosphate-buffered saline, or a water-acetonitrile mixture—is chosen based on peptide solubility. Adding solvent gently down the vial wall and swirling, rather than vortexing, reduces foaming and shear stress. The resulting solution should be clear; visible particles indicate incomplete dissolution or contamination. Concentration is recorded accurately because it affects subsequent use. If the peptide is not fully soluble, a small amount of organic solvent or a different buffer may be required, but this changes the final composition.
AlphaFold 1 (2018) was built on work developed by various teams in the 2010s, work that looked at the large databases of related protein sequences now available from many different organisms (most without known 3D structures), to try to find changes at different residues (peptides) that appeared to be correlated, even though the residues were not consecutive in the main chain. Such correlations suggest that the residues may be close to each other physically, even though not close in the sequence, allowing a contact map to be estimated. Building on recent work prior to 2018, AlphaFold 1 extended this by estimating a probability distribution for the distances between residues, effectively transforming the contact map into a distance map. It also used more advanced learning methods than previously to develop the inference. The code was not made publicly available, except to run on sequences of proteins in the 2018 CASP competition.
Alanine (symbol Ala or A), or α-alanine, is an α-amino acid that is used in the biosynthesis of proteins. It contains an amine group and a carboxylic acid group, both attached to the central carbon atom which also carries a methyl group side chain. Consequently it is classified as a non-polar, aliphatic α-amino acid. Under biological conditions, alanine exists in its zwitterionic form with its amine group protonated (as −NH+3) and its carboxyl group deprotonated (as −CO−2). Alanine is encoded by all codons starting with GC (GCU, GCC, GCA, and GCG). The L-isomer of alanine (left-handed) is the one that is incorporated into proteins. L-alanine is second only to L-leucine in rate of occurrence, accounting for 7.8% of the primary structure in a sample of 1,150 proteins. The right-handed form, D-alanine, occurs in peptides in some bacterial cell walls (in peptidoglycan) and in some peptide antibiotics, and occurs in the tissues of many crustaceans and molluscs as an osmolyte. Alanine is not an essential amino acid in humans because it can be synthesized metabolically and does not need to be present in the diet. However hypoalaninemia (alanine deficiency) is possible under certain conditions such as ketotic hypoglycemia.
The use of trapezoidal rule in AUC calculation was known in literature by no later than 1975, in J.G. Wagner's Fundamentals of Clinical Pharmacokinetics. A 1977 article compares the "classical" trapezoidal method to a number of methods that take into account the typical shape of the concentration plot, caused by first-order kinetics. Notwithstanding the above knowledge, a 1994 Diabetes Care article by Mary M. Tai entitled "A Mathematical Model for the Determination of Total Area Under Glucose Tolerance and Other Metabolic Curves" purports to have independently discovered the trapezoidal rule. In Tai's response to the later letters to the editors, she explained that the rule was new to her colleagues, who relied on grid-counting. Tai's paper has been discussed as a case of scholarly peer review failure. Despite the number of mathematically superior numerical integration schemes (such as those outlined in Wagner & Ayres 1977), the trapezoidal rule remains the convention for AUC calculation. Later focus on improving the accuracy of AUC calculation shifted from improving the method to improving the sampling scheme. An example is a 2019 algorithm known as OTTER: it performs a fit onto sum of exponentials curve for the input data but only uses it to suggest better sample times by finding more highly sloped periods.
Sources: en.wikipedia.org
Large aromatic residues (tyrosine, phenylalanine, tryptophan) and β-branched amino acids (threonine, valine, isoleucine) are favored to be found in β-strands in the middle of β-sheets. Different types of residues (such as proline) are likely to be found in the edge strands in β-sheets, presumably to avoid the "edge-to-edge" association between proteins that might lead to aggregation and amyloid formation. A very simple structural motif involving β-strands is the β-hairpin, in which two antiparallel strands are linked by a short loop of two to five residues, of which one is frequently a glycine or a proline, both of which can assume the dihedral-angle conformations required for a tight turn or a β-bulge loop. Individual strands can also be linked in more elaborate ways with longer loops that may contain α-helices.
Clinical trial number NCT02609776 for "Study of Amivantamab, a Human Bispecific EGFR and cMet Antibody, in Participants With Advanced Non-Small Cell Lung Cancer (CHRYSALIS)" at ClinicalTrials.gov Clinical trial number NCT04487080 for "A Study of Amivantamab and Lazertinib Combination Therapy Versus Osimertinib in Locally Advanced or Metastatic Non-Small Cell Lung Cancer (MARIPOSA)" at ClinicalTrials.gov Clinical trial number NCT04988295 for "A Study of Amivantamab and Lazertinib in Combination With Platinum-Based Chemotherapy Compared With Platinum-Based Chemotherapy in Patients With Epidermal Growth Factor Receptor (EGFR)-Mutated Locally Advanced or Metastatic Non- Small Cell Lung Cancer After Osimertinib Failure (MARIPOSA-2)" at ClinicalTrials.gov Clinical trial number NCT04538664 for "A Study of Combination Amivantamab and Carboplatin-Pemetrexed Therapy, Compared With Carboplatin-Pemetrexed, in Participants With Advanced or Metastatic Non-Small Cell Lung Cancer Characterized by Epidermal Growth Factor Receptor (EGFR) Exon 20 Insertions (PAPILLON)" at ClinicalTrials.gov
Bruce Randall Donald (born 1958) is an American computer scientist and computational biologist. He is the James B. Duke Professor of Computer Science and Biochemistry at Duke University. He has made numerous contributions to several fields in Computer Science such as robotics, Microelectromechanical Systems (MEMS), Geometric & physical algorithms and computational geometry, as well as in areas of Structural Molecular Biology & Biochemistry such as Protein design, Protein Structure Determination and Computational Chemistry.
The MEROPS protease database includes the following ten families of asparagine peptide lyases, which are included in 6 different clans of proteases. Proteolytic enzymes are classified into families based on sequence similarity. Each family includes proteolytic enzymes with homologous sequences and common catalytic type. Clans are groups of proteolytic enzymes families with related structures, where catalytic type is not conserved. *Not yet included in IUBMB recommendations. The ten different families of asparagine peptide lyases are distributed in three different types: Viral coat proteins Autotransporter proteins Intein-containing proteins There are five families of viral coat proteins (N1, N2, N8, N7 and N5), two families of autotransporter proteins (N6 and N4) and three families of intein-containing proteins (N9, N10 and N11).
Sources: en.wikipedia.org
Allow the sealed vial to equilibrate to room temperature so condensation does not form on the powder or solution. Wipe the exterior with a suitable disinfectant if the workspace requires it. Open the vial in a clean, draft-free area to reduce contamination.
Vortexing creates rapid air-liquid interfaces that can cause foaming and promote aggregation. Gentle inversion or slow swirling usually dissolves the peptide with less physical stress. Some sequences tolerate vortexing, but minimizing shear is a general precaution.
A certificate of analysis usually reports purity by HPLC, identity by mass spectrometry, appearance, and sometimes water content or counterion. It may also list lot number, storage recommendations, and handling notes. Exact content varies by supplier and product type.
Dry peptides are generally kept in sealed, desiccated containers at low temperature, often -20 °C or colder. Protection from light, moisture, and oxygen helps slow degradation. The exact condition depends on the peptide sequence and supplier guidance.