The NIST DART-MS Forensics Database is an evaluated collection of in-source collisionally-induced dissociation (is-CID) mass spectra of compounds of interest to the forensics community (e.g. seized drugs, cutting agents, etc.). The is-CID mass spectra were collected using Direct Analysis in Real-Time (DART) Mass Spectrometry (MS), either by NIST scientists or by contributing agencies noted per compound. The database is provided as a general-purpose structure data file (.SDF). For users on Windows operating systems, the .SDF format library can be converted to NIST MS Search format using Lib2NIST and then explored using NIST MS Search v2.4 for general mass spectral analysis. These software tools can be downloaded at https://chemdata.nist.gov. The database is now (09-28-2021) also provided in R data format (.RDS) for use with the R programming language. This database, also commonly referred to as a library, is one in a series of high-quality mass spectral libraries/databases produced by NIST (see NIST SRD 1a, https://dx.doi.org/10.18434/T4H594).

The NIST DART-MS Forensics Database is an evaluated collection of in-source collisionally-induced dissociation (is-CID) mass spectra of compounds of interest to the forensics community (e.g. seized drugs, cutting agents, etc.). The is-CID mass spectra were collected using Direct Analysis in Real-Time (DART) Mass Spectrometry (MS), either by NIST scientists or by contributing agencies noted per compound. The database is provided as a general-purpose structure data file (.SDF). For users on Windows operating systems, the .SDF format library can be converted to NIST MS Search format using Lib2NIST and then explored using NIST MS Search v2.4 for general mass spectral analysis. These software tools can be downloaded at https://chemdata.nist.gov. The database is now (09-28-2021) also provided in R data format (.RDS) for use with the R programming language.This database, also commonly referred to as a library, is one in a series of high-quality mass spectral libraries/databases produced by NIST (see NIST SRD 1a, https://dx.doi.org/10.18434/T4H594).

The NIST DART-MS Forensics Database is an evaluated collection of in-source collisionally-induced dissociation (is-CID) mass spectra of compounds of interest to the forensics community (e.g. seized drugs, cutting agents, etc.). The is-CID mass spectra were collected using Direct Analysis in Real-Time (DART) Mass Spectrometry (MS), either by NIST scientists or by contributing agencies noted per compound. The database is provided as a general-purpose structure data file (.SDF). For users on Windows operating systems, the .SDF format library can be converted to NIST MS Search format using Lib2NIST and then explored using NIST MS Search v2.4 for general mass spectral analysis. These software tools can be downloaded at https://chemdata.nist.gov. The database is now (09-28-2021) also provided in R data format (.RDS) for use with the R programming language.This database, also commonly referred to as a library, is one in a series of high-quality mass spectral libraries/databases produced by NIST (see NIST SRD 1a, https://dx.doi.org/10.18434/T4H594).

The Nuclear Magnetic Resonance Spectral Measurement Database (NMR-SMDB) was developed for the purpose of organizing and searching NMR spectral data of protein therapeutics, linking spectra to corresponding sample information and enabling quick access to full datasets and entire studies. In addition to supporting internal NIST research, the system could facilitate data access to stakeholders outside of NIST, and future versions of the database software itself could be installed by others for their own data storage and retrieval.

Background Quantitative information on the types of inter-atomic interactions at the MHC-peptide interface will provide insights to backbone/sidechain atom preference during binding. Qualitative descriptions of such interactions in each complex have been documented by protein crystallographers. However, no comprehensive report is available to account for the common types of inter-atomic interactions in a set of MHC-peptide complexes characterized by variation in MHC allele and peptide sequence. The available x-ray crystallography data for these complexes in the Protein Databank (PDB) provides an opportunity to identify the prevalent types of such interactions at the binding interface. Results We calculated the percentage distributions of four types of interactions at varying inter-atomic distances. The mean percentage distribution for these interactions and their standard deviation about the mean distribution is presented. The prevalence of SS and SB interactions at the MHC-peptide interface is shown in this study. SB is clearly dominant at an inter-atomic distance of 3Å. Conclusion The prevalently dominant SB interactions at the interface suggest the importance of peptide backbone conformation during MHC-peptide binding. Currently, available algorithms are developed for protein sidechain prediction upon fixed backbone template. This study shows the preference of backbone atoms in MHC-peptide binding and hence emphasizes the need for accurate peptide backbone prediction in quantitative MHC-peptide binding calculations.

Human myelin basic protein (h-MBP) has a molecular weight of 18.5 KD and contains 170 amino acid residues. Synthetic peptides ranging in length from about 8 to 25 residues and covering the entire length of the protein have been produced. Antibodies to h-MBP (anti-MBP) were found to be neutralized by the synthetic peptides, in vitro, which span the h-MBP from about amino acid residue 61 to about amino acid residue 106. The peptides, which cover both the amino (about residues 1 to 63) and carboxy (about residues 117 to 162) terminals of h-MBP did not neutralize purified anti-MBP. Intrathecal administration of peptide MBP(75-95), MBP(86-95), or MBP(82-98) produced complete binding-neutralization of free (F) anti-MBP with no change in bound (B) levels. A control peptide MBP(35-58) had no effect on (F) or (B) anti-MBP levels. Intravenous administration of MBP(75-95), MBP(86-95), or MBP(82-98) resulted in significant decline of (F) and (B) CSF anti-MBP levels. Administration of MBP synthetic peptides to MS patients either intrathecally or intravenously did not have any adverse neurological effects and systemic complications did not occur. The MBP epitope for MS anti-MBP has been localized to an area between Pro86 and Pro95.

The Protein database is a collection of sequences from several sources, including translations from annotated coding regions in GenBank, RefSeq and TPA, as well as records from SwissProt, PIR, PRF, and PDB. Protein sequences are the fundamental determinants of biological structure and function.

Dataset consists of 2 main files as follows: 1. All main and Supplemental MS final figures used for manuscript preparation for better viewing (pdf file). Figures are copies of raw or analyzed data directly from the mass spectrometers experimental files generated during research. Explanation of figures is provided in manuscript's text 2. Xcel file (Mass calculator CPK metabolites original), containing a significant amount of MS raw data obtained during the research for parent chemicals and metabolites. Emphasis was provided to the analyses of CPK metabolites. The file contains an Index page stating the content of each sheet. Because CPK metabolites were labelled differently as the research progressed, a Legend with the different labeling of each metabolite is presented on each sheet. This dataset is associated with the following publication: Kolanczyk, R., J. Serrano, M. Tapper, and P. Schmieder. A comparison of fish pesticide metabolic pathways with those of the rat and goat. REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 94: 124-143, (2018).

Dataset consists of 2 main files as follows: 1. All main and Supplemental MS final figures used for manuscript preparation for better viewing (pdf file). Figures are copies of raw or analyzed data directly from the mass spectrometers experimental files generated during research. Explanation of figures is provided in manuscript's text 2. Xcel file (Mass calculator CPK metabolites original), containing a significant amount of MS raw data obtained during the research for parent chemicals and metabolites. Emphasis was provided to the analyses of CPK metabolites. The file contains an Index page stating the content of each sheet. Because CPK metabolites were labelled differently as the research progressed, a Legend with the different labeling of each metabolite is presented on each sheet. This dataset is associated with the following publication: Kolanczyk, R., J. Serrano, M. Tapper, and P. Schmieder. A comparison of fish pesticide metabolic pathways with those of the rat and goat. REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 94: 124-143, (2018).

Direct Analysis in Real Time Mass Spectrometry (DART-MS) is an analytical chemistry technology that is being increasingly employed in forensic applications. This form of mass spectrometry rapidly yields rich structural information about an analyte with minimal sample preparation. The challenge with DART-MS data, much like other data generated with high throughput technologies, lies in the data interpretation. This is especially true when the analyzed samples are multi-component mixtures like seized drug evidence. The NIST/NIJ DART-MS Data Interpretation Tool (DIT) is a freely available and open-source software tool developed to support the interpretation of in-source collision induced dissociation (is-CID) DART-MS data. The NIST/NIJ DART-MS DIT can be used to view reference mass spectra from DART-MS spectral libraries, search query DART-MS mass spectra of mixtures against reference libraries, using the Inverted Library Search Algorithm, and generate printable reports from search results. Several of the features, including the formatting of generated reports, were iteratively designed with input from local, state, and federal forensic practitioners, ensuring that the program is intuitive and usable for the expected users.