Calculate Protein Molecular Weight from Amino Acid Sequence

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Protein Molecular Weight Calculator: Calculate from Amino Acid Sequence

Accurately determine the molecular weight of your protein based on its amino acid composition.

Protein Molecular Weight Calculator

Enter the amino acid sequence using standard one-letter codes (e.g., A, R, N, D, C, Q, E, G, H, I, L, K, M, F, P, S, T, W, Y, V).
No Yes (e.g., disulfide bond) Select 'Yes' if cysteines form disulfide bonds, which affects the average molecular weight calculation.
No Yes Select 'Yes' if the N-terminal amino acid is acetylated.
No Yes Select 'Yes' if the C-terminal amino acid is amidated.
Enter the estimated purity of your protein sample (e.g., 95 for 95%).

Your Protein's Molecular Weight

Total Residues:
Gross Molecular Weight (Da):
Net Molecular Weight (Da):
Purity Adjusted MW (Da):

Molecular weight is calculated by summing the average molecular weights of each amino acid residue in the sequence, accounting for dehydration during peptide bond formation. Modifications like disulfide bonds, N-terminal acetylation, and C-terminal amidation, as well as protein purity, are also factored in for a more precise net molecular weight.

Amino Acid Residue Weights

Average Monoisotopic Residue Molecular Weights (Da)
Amino Acid (1-Letter) Amino Acid (Full Name) Average Residue Weight (Da)

Molecular Weight Breakdown

Composition vs. Weight Contribution

What is Protein Molecular Weight Calculation?

Calculating protein molecular weight from its amino acid sequence is a fundamental process in biochemistry and molecular biology. It involves determining the total mass of a protein molecule based on the specific sequence of amino acids that compose it. This value is typically expressed in Daltons (Da) or kilodaltons (kDa). Understanding a protein's molecular weight is crucial for various experimental techniques, including SDS-PAGE, mass spectrometry, and chromatography, as well as for predicting protein function and interactions.

Who should use it? Researchers, biochemists, molecular biologists, students, and anyone working with proteins will find this calculation indispensable. It's vital for experimental design, data interpretation, and verifying protein identity.

Common Misconceptions:

  • Exact vs. Average Weight: The calculation often uses average isotopic masses for elements (C, H, N, O, S) to provide an average molecular weight. For highly precise mass spectrometry, monoisotopic masses are used, which can yield slightly different results. Our calculator uses average weights for general use.
  • Ignoring Modifications: Many proteins undergo post-translational modifications (PTMs) like glycosylation or phosphorylation, which significantly alter their mass. This calculator accounts for common PTMs like N-terminal acetylation, C-terminal amidation, and cysteine disulfide bonds but not all possible PTMs.
  • Purity Impact: A calculated molecular weight often assumes 100% pure protein. In reality, samples can contain impurities, affecting experimental results. Adjusting for purity provides a more realistic mass for the protein of interest within a sample.

Protein Molecular Weight Formula and Mathematical Explanation

The core principle behind calculating protein molecular weight from its amino acid sequence is to sum the average masses of the constituent amino acid residues and account for the water molecule lost during peptide bond formation. Additionally, specific modifications and overall purity can adjust this gross molecular weight to a net or adjusted value.

The general formula can be expressed as:

Gross Molecular Weight (Da) = Σ (Average Residue Weight of Amino Acid i) – (Number of Peptide Bonds × Average Molecular Weight of Water)

Since each peptide bond formation involves the loss of one water molecule (H₂O), a protein with N amino acid residues will have N-1 peptide bonds.

Detailed Steps:

  1. Identify Amino Acid Composition: Count the occurrences of each of the 20 standard amino acids in the sequence.
  2. Sum Residue Weights: For each amino acid, multiply its count by its average residue weight. Sum these values.
  3. Subtract Water Weight: Determine the number of amino acid residues (N) in the sequence. Calculate the total weight of water lost: (N – 1) * (Average Molecular Weight of Water).
  4. Calculate Gross Molecular Weight: Subtract the total water weight from the sum of residue weights.

Adjustments for Modifications:

  • N-terminal Acetylation: Adds an acetyl group (CH₃CO) to the N-terminus. Add its molecular weight.
  • C-terminal Amidation: Replaces the C-terminal carboxyl group with an amide group (NH₂). This involves losing an -OH and adding an -NH₂, effectively a net addition. (Or, more precisely, it results from a glycine or other amine accepting the C-terminus, losing water). The standard calculation often involves adding the mass difference compared to a free carboxyl group. Simpler calculators might just add the mass of NH2 and subtract the OH. A more accurate way is to consider the mass of the amidated C-terminus minus the free carboxyl terminus.
  • Disulfide Bonds (Cysteine): Each disulfide bond (-S-S-) forms between two cysteine residues, replacing two reactive thiol (-SH) groups with one disulfide bond. This involves the loss of two hydrogen atoms (2 * H). Subtract the molecular weight of 2 hydrogens for each disulfide bond formed.

Purity Adjustment:

Net Molecular Weight (Da) = Gross Molecular Weight (Adjusted for Modifications) * (Protein Purity / 100)

Variables Table:

Variable Meaning Unit Typical Range/Value
Sequence Length (N) Number of amino acid residues Residues 1 to >10,000
Average Residue Weight Average mass of an amino acid residue after water loss Daltons (Da) ~100 – 150 Da (varies by amino acid)
Molecular Weight of Water (H₂O) Mass of a water molecule Daltons (Da) ~18.015 Da
N-terminal Acetyl Group (CH₃CO) Mass of the acetyl modification Daltons (Da) ~43.045 Da
C-terminal Amidation Adjustment Mass difference for amidated vs. free carboxyl terminus Daltons (Da) Adds ~16.022 Da (for NH₂ vs OH)
Hydrogen Atom (H) Mass of a hydrogen atom Daltons (Da) ~1.008 Da
Protein Purity Percentage of the sample that is the target protein % 0 – 100%

Practical Examples (Real-World Use Cases)

Let's illustrate with practical examples of calculating protein molecular weight.

Example 1: Simple Peptide (No Modifications)

Scenario: A small peptide with the sequence "AGV" (Alanine-Glycine-Valine).

Inputs:

  • Sequence: AGV
  • N-terminal Acetylated: No
  • C-terminal Amidated: No
  • Cys Modified (Disulfide): No
  • Purity: 100%

Calculation:

  • Total Residues (N): 3
  • Number of Peptide Bonds: N – 1 = 2
  • Average Residue Weights:
    • Alanine (A): ~71.079 Da
    • Glycine (G): ~57.052 Da
    • Valine (V): ~99.135 Da
  • Sum of Residue Weights: 71.079 + 57.052 + 99.135 = 227.266 Da
  • Weight of Water Lost: 2 bonds * 18.015 Da/water = 36.030 Da
  • Gross Molecular Weight: 227.266 Da – 36.030 Da = 191.236 Da
  • Adjustments: None
  • Net Molecular Weight: 191.236 Da
  • Purity Adjusted MW: 191.236 Da * (100/100) = 191.236 Da

Interpretation: The calculated molecular weight for the peptide AGV, assuming it's pure and unmodified, is approximately 191.24 Da. This value would be useful for mass spectrometry identification or predicting its behavior in size-exclusion chromatography.

Example 2: Protein with Modifications

Scenario: A protein sequence "MCKCS" (Methionine-Cysteine-Lysine-Cysteine-Serine) where the two cysteines form a disulfide bond, the N-terminus is acetylated, and the protein purity is 90%.

Inputs:

  • Sequence: MCKCS
  • N-terminal Acetylated: Yes
  • C-terminal Amidated: No
  • Cys Modified (Disulfide): Yes
  • Purity: 90%

Calculation:

  • Total Residues (N): 5
  • Number of Peptide Bonds: N – 1 = 4
  • Amino Acid Counts & Residue Weights:
    • Methionine (M): 1 * ~131.199 Da
    • Cysteine (C): 2 * ~103.139 Da
    • Lysine (K): 1 * ~128.174 Da
    • Serine (S): 1 * ~87.078 Da
  • Sum of Residue Weights: (1 * 131.199) + (2 * 103.139) + (1 * 128.174) + (1 * 87.078) = 131.199 + 206.278 + 128.174 + 87.078 = 552.729 Da
  • Weight of Water Lost: 4 bonds * 18.015 Da/water = 72.060 Da
  • Gross MW (before modifications): 552.729 Da – 72.060 Da = 480.669 Da
  • Adjustments:
    • N-terminal Acetylation: Add ~43.045 Da
    • Disulfide Bond: Forms between the 2 Cys. Loss of 2 H atoms. Subtract 2 * 1.008 Da = ~2.016 Da.
    • C-terminal Amidation: No
  • Net MW (after modifications): 480.669 + 43.045 – 2.016 = 521.698 Da
  • Purity Adjusted MW: 521.698 Da * (90 / 100) = 469.528 Da

Interpretation: The target protein's molecular weight, considering acetylation, a disulfide bond, and 90% purity, is approximately 469.53 Da. This refined value is critical for accurate quantification and troubleshooting experiments where purity might be a concern.

How to Use This Protein Molecular Weight Calculator

Our Protein Molecular Weight Calculator is designed for ease of use, providing accurate results quickly. Follow these simple steps:

  1. Enter Amino Acid Sequence: Input the primary sequence of your protein using the standard one-letter codes (e.g., ARNDCQE…).
  2. Specify Modifications:
    • Select "Yes" for "Is Cysteine (C) Modified?" if your protein contains one or more disulfide bonds (each bond involves two cysteines and the loss of two hydrogens).
    • Select "Yes" for "Is N-terminus Acetylated?" if the first amino acid in your sequence has undergone N-terminal acetylation.
    • Select "Yes" for "Is C-terminus Amidated?" if the last amino acid in your sequence has a C-terminal amide group instead of a free carboxyl group.
  3. Input Protein Purity: Enter the estimated percentage purity of your protein sample (e.g., 95 for 95%). This helps adjust the calculated weight to reflect the mass of your target protein within the sample.
  4. Click 'Calculate': Press the "Calculate Molecular Weight" button.

How to Read Results:

  • Primary Highlighted Result: This is the Purity Adjusted Molecular Weight (Da), representing the most practical estimate of your protein's mass in the sample.
  • Intermediate Values: These provide a breakdown:
    • Total Residues: The total number of amino acids in your sequence.
    • Gross Molecular Weight (Da): The calculated weight based purely on the sequence and water loss during peptide bond formation.
    • Net Molecular Weight (Da): The weight after accounting for specified modifications (acetylation, amidation, disulfide bonds) but before purity adjustment.
  • Amino Acid Residue Weights Table: This table lists the average molecular weight for each standard amino acid residue, showing the basis for the calculations.
  • Chart: The chart visually compares the number of each amino acid residue to its contribution to the total molecular weight.

Decision-Making Guidance: Use the Purity Adjusted MW for accurate quantification and when comparing experimental results (like band intensity on a gel) to theoretical values. The Net MW is useful for understanding the theoretical mass of the unmodified protein, while the Gross MW provides the base calculation before modifications.

Key Factors That Affect Protein Molecular Weight Results

Several factors significantly influence the calculated molecular weight of a protein. Understanding these nuances is key to accurate interpretation:

  1. Amino Acid Sequence: This is the primary determinant. Different amino acids have vastly different side chains, leading to significant variations in residue weights. A protein rich in methionine and tryptophan will be heavier than one rich in glycine and alanine.
  2. Post-Translational Modifications (PTMs): Beyond the basic modifications covered (acetylation, amidation, disulfide bonds), proteins can be glycosylated (adding sugar residues), phosphorylated (adding phosphate groups), ubiquitinated, methylated, etc. Each PTM adds or removes mass, sometimes substantially.
  3. Disulfide Bond Formation: As calculated, each disulfide bond removes 2 hydrogen atoms (~2 Da). In proteins with multiple cysteines, the number of disulfide bonds can significantly lower the mass compared to a protein with the same sequence but no disulfide bonds.
  4. N-terminal and C-terminal Modifications: Acetylation, amidation, pyroglutamate formation at the N-terminus, or even proteolytic cleavage can alter the terminal residues' masses.
  5. Isoforms and Alternative Splicing: Different variants of a protein (isoforms) resulting from alternative splicing or genetic variations will have different amino acid sequences and thus different molecular weights.
  6. Protein Purity: The presence of contaminants (other proteins, degradation products, lipids, nucleic acids) means the measured mass or band intensity on a gel doesn't solely represent the target protein. Adjusting for purity provides a more accurate estimate of the target protein's contribution to the overall sample mass.
  7. Isotopic Composition: While this calculator uses average atomic masses, the actual isotopic composition of elements (e.g., ¹³C vs ¹²C) can lead to slight variations. High-resolution mass spectrometry works with specific isotopic masses.

Frequently Asked Questions (FAQ)

  • Q: What are the standard one-letter codes for amino acids?
    A: The 20 standard amino acid codes are: A (Alanine), R (Arginine), N (Asparagine), D (Aspartic Acid), C (Cysteine), Q (Glutamine), E (Glutamic Acid), G (Glycine), H (Histidine), I (Isoleucine), L (Leucine), K (Lysine), M (Methionine), F (Phenylalanine), P (Proline), S (Serine), T (Threonine), W (Tryptophan), Y (Tyrosine), V (Valine).
  • Q: Why is the molecular weight slightly different from online databases?
    A: Differences can arise from using average isotopic masses versus monoisotopic masses, variations in reported PTM masses, or whether the database lists the mature protein after signal peptide cleavage or the full precursor. Always check the source and assumptions.
  • Q: Does this calculator handle glycosylation?
    A: No, this calculator does not include glycosylation. Glycosylation involves adding complex sugar chains, significantly increasing molecular weight, and is highly variable. Specialized tools are needed for glycosylated protein mass calculation.
  • Q: What is the difference between Gross and Net Molecular Weight?
    A: Gross Molecular Weight is calculated directly from the amino acid sequence and water loss during peptide bond formation. Net Molecular Weight includes adjustments for common chemical modifications like N-terminal acetylation, C-terminal amidation, and disulfide bonds.
  • Q: How accurate is the purity adjustment?
    A: The accuracy depends entirely on the accuracy of the input purity percentage. If your purity estimate is off, the purity-adjusted MW will also be off.
  • Q: Should I use average or monoisotopic mass for my protein?
    A: For general purposes and SDS-PAGE estimations, average molecular weight is sufficient. For precise mass spectrometry analysis, monoisotopic mass is preferred as it reflects the mass of the most abundant isotope combination. This calculator uses average weights.
  • Q: What if my protein has multiple disulfide bonds?
    A: If your protein has multiple disulfide bonds, each bond requires the subtraction of 2 hydrogens. For 'N' disulfide bonds, you would subtract N * 2.016 Da. Our calculator currently assumes a single disulfide bond scenario when 'yes' is selected.
  • Q: Can this calculator determine the theoretical pI of a protein?
    A: No, this calculator focuses solely on molecular weight. Calculating the isoelectric point (pI) requires knowledge of the pKa values of ionizable amino acid side chains and N/C termini, which is a separate calculation.
  • Q: What are typical values for protein purity?
    A: Protein purity can range widely. Highly purified recombinant proteins might achieve 95-99%. Crude cell lysates will have very low purity (e.g., <1%). Typical purified experimental samples often fall between 85% and 95%.

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// Average Monoisotopic Residue Molecular Weights (Da) var aminoAcidWeights = { 'A': 71.0788, 'R': 129.1792, 'N': 114.1038, 'D': 115.0886, 'C': 103.1388, 'Q': 128.1310, 'E': 129.1155, 'G': 57.0519, 'H': 137.1411, 'I': 113.1594, 'L': 113.1594, 'K': 128.1741, 'M': 131.1926, 'F': 147.1766, 'P': 97.1167, 'S': 87.0782, 'T': 101.1051, 'W': 186.2132, 'Y': 163.1760, 'V': 99.1326 }; // Molecular weights of modifications and elements var modificationWeights = { 'water': 18.01528, 'acetyl': 43.04496, // CH3CO 'amide_adjustment': 16.02256, // NH2 vs OH difference for C-terminus 'hydrogen': 1.00794 }; // Populate residue table function populateResidueTable() { var tableBody = document.getElementById('residueTableBody'); var fullNames = { 'A': 'Alanine', 'R': 'Arginine', 'N': 'Asparagine', 'D': 'Aspartic Acid', 'C': 'Cysteine', 'Q': 'Glutamine', 'E': 'Glutamic Acid', 'G': 'Glycine', 'H': 'Histidine', 'I': 'Isoleucine', 'L': 'Leucine', 'K': 'Lysine', 'M': 'Methionine', 'F': 'Phenylalanine', 'P': 'Proline', 'S': 'Serine', 'T': 'Threonine', 'W': 'Tryptophan', 'Y': 'Tyrosine', 'V': 'Valine' }; var residueKeys = Object.keys(aminoAcidWeights).sort(); // Sort alphabetically by code residueKeys.forEach(function(key) { var row = tableBody.insertRow(); var cell1 = row.insertCell(0); var cell2 = row.insertCell(1); var cell3 = row.insertCell(2); cell1.textContent = key; cell2.textContent = fullNames[key]; cell3.textContent = aminoAcidWeights[key].toFixed(4); // Display with 4 decimal places }); } // Initial population of the table populateResidueTable(); function getAminoAcidCounts(sequence) { var counts = {}; for (var aa in aminoAcidWeights) { counts[aa] = 0; } var seqLower = sequence.toUpperCase(); for (var i = 0; i < seqLower.length; i++) { var aa = seqLower[i]; if (aminoAcidWeights.hasOwnProperty(aa)) { counts[aa]++; } else { // Handle invalid characters if necessary, or just ignore console.warn("Invalid amino acid code found: " + aa); } } return counts; } function calculateProteinMW() { var sequenceInput = document.getElementById('aminoAcidSequence'); var isCysModifiedInput = document.getElementById('isCysModified'); var isNtermAcetylatedInput = document.getElementById('isNtermAcetylated'); var isCtermAmidatedInput = document.getElementById('isCtermAmidated'); var purityInput = document.getElementById('proteinPurity'); var sequence = sequenceInput.value.trim(); var isCysModified = isCysModifiedInput.value; var isNtermAcetylated = isNtermAcetylatedInput.value; var isCtermAmidated = isCtermAmidatedInput.value; var purity = parseFloat(purityInput.value); // Clear previous errors document.getElementById('aminoAcidSequenceError').textContent = ''; document.getElementById('isCysModifiedError').textContent = ''; document.getElementById('isNtermAcetylatedError').textContent = ''; document.getElementById('isCtermAmidatedError').textContent = ''; document.getElementById('proteinPurityError').textContent = ''; // — Input Validation — if (sequence === "") { document.getElementById('aminoAcidSequenceError').textContent = 'Amino acid sequence cannot be empty.'; return; } var validSequence = /^[ARNDCEQGHILKMFPSTWYV]+$/i.test(sequence); if (!validSequence) { document.getElementById('aminoAcidSequenceError').textContent = 'Invalid characters in sequence. Use standard one-letter codes only.'; return; } if (isNaN(purity) || purity 100) { document.getElementById('proteinPurityError').textContent = 'Purity must be a number between 0 and 100.'; return; } // — Calculations — var counts = getAminoAcidCounts(sequence); var totalResidues = sequence.length; var grossMW = 0; // Sum of residue weights for (var aa in counts) { grossMW += counts[aa] * aminoAcidWeights[aa]; } // Subtract water for peptide bonds var numPeptideBonds = totalResidues > 0 ? totalResidues – 1 : 0; grossMW -= numPeptideBonds * modificationWeights.water; var netMW = grossMW; // Apply N-terminal acetylation if (isNtermAcetylated === 'yes') { netMW += modificationWeights.acetyl; } // Apply C-terminal amidation if (isCtermAmidated === 'yes') { // This is an approximation: assumes addition of NH2 and removal of OH group. // A more precise calculation considers the mass of the C-terminal amide vs free carboxylate. // The difference is approximately mass(NH2) – mass(OH) = 16.02256 Da netMW += modificationWeights.amide_adjustment; } // Apply disulfide bond correction (loss of 2 H per bond) var numDisulfideBonds = 0; if (isCysModified === 'yes') { // Simple assumption: count cysteines and assume they form as many pairs as possible. // For N cysteines, N/2 disulfide bonds. numDisulfideBonds = Math.floor(counts['C'] / 2); netMW -= numDisulfideBonds * (2 * modificationWeights.hydrogen); } // Calculate purity adjusted MW var purityAdjustedMW = netMW * (purity / 100); // — Display Results — document.getElementById('totalResidues').textContent = totalResidues; document.getElementById('grossMW').textContent = grossMW.toFixed(4); document.getElementById('netMW').textContent = netMW.toFixed(4); document.getElementById('purityAdjustedMW').textContent = purityAdjustedMW.toFixed(4); document.getElementById('primaryResult').textContent = purityAdjustedMW.toFixed(4) + ' Da'; // — Update Chart — updateChart(counts, netMW, isNtermAcetylated, numDisulfideBonds * 2 * modificationWeights.hydrogen, modificationWeights.amide_adjustment); } function updateChart(counts, baseNetMW, isNtermAcetylated, disulfideReduction, amideAddition) { var ctx = document.getElementById('mwChart').getContext('2d'); var chartData = { labels: [], datasets: [{ label: 'Residue Count', data: [], backgroundColor: 'rgba(0, 74, 153, 0.6)', // Primary color borderColor: 'rgba(0, 74, 153, 1)', borderWidth: 1, yAxisID: 'y-axis-count' }, { label: 'Weight Contribution (Da)', data: [], backgroundColor: 'rgba(40, 167, 69, 0.6)', // Success color borderColor: 'rgba(40, 167, 69, 1)', borderWidth: 1, yAxisID: 'y-axis-weight' }] }; var sortedAAs = Object.keys(counts).filter(function(aa){ return counts[aa] > 0; }).sort(function(a, b) { return counts[b] – counts[a]; // Sort by count descending }); var residueWeightsSum = 0; for (var i = 0; i 0) { // amideAddition is the mass difference chartData.labels.push('C-Am'); chartData.datasets[0].data.push(1); // Representing one C-term chartData.datasets[1].data.push(amideAddition); } if (disulfideReduction > 0) { // disulfideReduction is total H loss // For visualization, we might show the 'loss' or the weight of the H atoms removed. // Here, we'll show the reduction amount as a negative contribution for clarity. // This is tricky for a composition bar chart. Let's simplify and just note it. // A better chart might be a stacked bar showing original residue weights then modification impacts. // For this example, we'll skip adding the H loss directly to the bars but it's accounted for in netMW. } // Destroy previous chart instance if it exists if (window.mwChartInstance) { window.mwChartInstance.destroy(); } var chartConfig = { type: 'bar', data: chartData, options: { responsive: true, maintainAspectRatio: false, scales: { xAxes: [{ ticks: { fontColor: '#004a99' } }], yAxes: [{ id: 'y-axis-count', type: 'linear', position: 'left', scaleLabel: { display: true, labelString: 'Number of Residues/Modifications' }, ticks: { beginAtZero: true, fontColor: '#004a99' } }, { id: 'y-axis-weight', type: 'linear', position: 'right', scaleLabel: { display: true, labelString: 'Weight Contribution (Da)' }, ticks: { beginAtZero: true, fontColor: '#28a745', callback: function(value, index, values) { // Format ticks to show Da return value.toLocaleString() + ' Da'; } }, gridLines: { drawOnChartArea: false, // only want the grid lines for one axis to show up } }] }, tooltips: { callbacks: { label: function(tooltipItem, data) { var label = data.datasets[tooltipItem.datasetIndex].label || "; if (label) { label += ': '; } if (tooltipItem.datasetIndex === 0) { // Count axis label += tooltipItem.yLabel; } else { // Weight axis label += parseFloat(tooltipItem.yLabel).toLocaleString(undefined, {minimumFractionDigits: 4, maximumFractionDigits: 4}) + ' Da'; } return label; } } }, legend: { labels: { fontColor: '#333' } } } }; var chartCanvas = document.getElementById('mwChart'); // Ensure canvas context is available if (chartCanvas && chartCanvas.getContext) { window.mwChartInstance = new Chart(ctx, chartConfig); } else { console.error("Canvas element or context not found."); } } function resetForm() { document.getElementById('aminoAcidSequence').value = "; document.getElementById('isCysModified').value = 'no'; document.getElementById('isNtermAcetylated').value = 'no'; document.getElementById('isCtermAmidated').value = 'no'; document.getElementById('proteinPurity').value = '95'; // Reset results document.getElementById('totalResidues').textContent = '–'; document.getElementById('grossMW').textContent = '–'; document.getElementById('netMW').textContent = '–'; document.getElementById('purityAdjustedMW').textContent = '–'; document.getElementById('primaryResult').textContent = '–'; // Clear errors document.getElementById('aminoAcidSequenceError').textContent = "; document.getElementById('isCysModifiedError').textContent = "; document.getElementById('isNtermAcetylatedError').textContent = "; document.getElementById('isCtermAmidatedError').textContent = "; document.getElementById('proteinPurityError').textContent = "; // Clear chart data var chartData = { labels: [], datasets: [{ label: 'Residue Count', data: [], backgroundColor: 'rgba(0, 74, 153, 0.6)', yAxisID: 'y-axis-count'}, { label: 'Weight Contribution (Da)', data: [], backgroundColor: 'rgba(40, 167, 69, 0.6)', yAxisID: 'y-axis-weight'}] }; if (window.mwChartInstance) { window.mwChartInstance.data = chartData; window.mwChartInstance.update(); } } function copyResults() { var primaryResult = document.getElementById('primaryResult').textContent; var totalResidues = document.getElementById('totalResidues').textContent; var grossMW = document.getElementById('grossMW').textContent; var netMW = document.getElementById('netMW').textContent; var purityAdjustedMW = document.getElementById('purityAdjustedMW').textContent; var sequence = document.getElementById('aminoAcidSequence').value.trim(); var isCysModified = document.getElementById('isCysModified').value; var isNtermAcetylated = document.getElementById('isNtermAcetylated').value; var isCtermAmidated = document.getElementById('isCtermAmidated').value; var purity = document.getElementById('proteinPurity').value; var assumptions = []; if (sequence) assumptions.push("Sequence: " + sequence); if (isCysModified === 'yes') assumptions.push("Cysteine Modified (Disulfide Bond Formed)"); if (isNtermAcetylated === 'yes') assumptions.push("N-terminus Acetylated"); if (isCtermAmidated === 'yes') assumptions.push("C-terminus Amidated"); if (purity) assumptions.push("Protein Purity: " + purity + "%"); var textToCopy = "Protein Molecular Weight Calculation Results:\n\n"; textToCopy += "Primary Result (Purity Adjusted MW): " + primaryResult + "\n"; textToCopy += "Total Residues: " + totalResidues + "\n"; textToCopy += "Gross Molecular Weight: " + grossMW + " Da\n"; textToCopy += "Net Molecular Weight (after modifications): " + netMW + " Da\n\n"; textToCopy += "Assumptions/Inputs:\n"; assumptions.forEach(function(assumption) { textToCopy += "- " + assumption + "\n"; }); // Use navigator.clipboard for modern browsers if (navigator.clipboard && navigator.clipboard.writeText) { navigator.clipboard.writeText(textToCopy).then(function() { alert('Results copied to clipboard!'); }).catch(function(err) { console.error('Failed to copy text: ', err); // Fallback for older browsers or if clipboard API fails prompt("Copy the following text:", textToCopy); }); } else { // Fallback for older browsers var textArea = document.createElement("textarea"); textArea.value = textToCopy; textArea.style.position = "fixed"; // Avoid scrolling to bottom of page in MS Edge. textArea.style.opacity = "0"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'successful' : 'unsuccessful'; alert('Results copied to clipboard! (' + msg + ')'); } catch (err) { console.error('Fallback: Oops, unable to copy', err); prompt("Copy the following text manually:", textToCopy); } document.body.removeChild(textArea); } } // Initial calculation on page load if there's default data document.addEventListener('DOMContentLoaded', function() { // Trigger initial calculation if default values are set and meaningful // Here, we'll just populate the chart with default empty state var chartCanvas = document.getElementById('mwChart'); if(chartCanvas) { var ctx = chartCanvas.getContext('2d'); // Initialize with empty data structure, Chart.js will handle it window.mwChartInstance = new Chart(ctx, { type: 'bar', data: { labels: [], datasets: [{ label: 'Residue Count', data: [], yAxisID: 'y-axis-count'}, { label: 'Weight Contribution (Da)', data: [], yAxisID: 'y-axis-weight'}] }, options: { responsive: true, maintainAspectRatio: false, scales: { xAxes: [{ticks: {fontColor: '#004a99'}}], yAxes: [ {id: 'y-axis-count', type: 'linear', position: 'left', scaleLabel: {display: true, labelString: 'Count'}, ticks: {beginAtZero: true, fontColor: '#004a99'}}, {id: 'y-axis-weight', type: 'linear', position: 'right', scaleLabel: {display: true, labelString: 'Weight (Da)'}, ticks: {beginAtZero: true, fontColor: '#28a745'}, gridLines: {drawOnChartArea: false}} ] }, tooltips: {enabled: true}, legend: {labels: {fontColor: '#333'}} } }); } // Optionally pre-fill and calculate if default values are desired // document.getElementById('aminoAcidSequence').value = 'MKTFFYDPETSS'; // calculateProteinMW(); });

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