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The operators of Oh Bento Banff started an online petition advocating for an extension on their 5-year lease of space in The Fenlands Banff Recreation Centre, rather than bidding in the open tender process for the operator for the next 5-year period.
The Town has undertaken an open and transparent tender process for the concession and catering lease at The Fenlands Banff Recreation Centre for the next 5 years, starting in October 2023, with an option to renew for another 5 years if in good standing, following on the last 5-year agreement (2018-2023).
During the COVID-19 pandemic, the Town waived all rent payments from the operator from March 2020 to January 2021. The Town allowed service expansions such as food delivery during the pandemic. For the last two years, the Town regularly received late lease payments and alterations in service. The Town encouraged service enhancements such as patio service for cyclists using the Bow Valley Parkway who park at the Fenlands and expanding liquor licence sales into a section of the arena. The Town granted requests for changes to operating hours and reduced rental rates in 2022 and 2023. The Town has also waived unpaid fees from October 2021 to September 2022, amounting to more than $10,000.
Lease rates in the new tender will remain well below typical Banff market rates for food and beverage property leases, and are comparative with other Alberta municipal recreation facilities lease rates for similar services.
The current lease ends in early September to allow technicians to inspect the lease space to ensure it is code compliant, safe, facility equipment is in good working order, and all mechanical servicing requirements are up to date, in time for the next lease period starting in October.
Duo is powered by an electric motor at the rear that moves the back wheels. It comes in two versions: 45 km/h (without a licence from the age of 14, depending on the country) and 80 km/h (which requires a class B license) and both offer brisk accelerations because the torque is instantly available. And they are silent and vibration-free, like all electric vehicles, adding a very welcome touch to user comfort.
Duo is ultra-compact (2.43 m long, 1.30 m wide, 1.46 cm high) to whiz about the most congested urban areas. It is especially comfortable to manoeuvre in cities, easy to park and agile. You can park three Duo cars perpendicularly in a standard parking space, to limit footprint. And the wraparound bumpers protect it from minor everyday bumps.
It is built around a tubular structure, with paint-free plastic (polypropylene) body panels. The front and rear bumpers are identical to lower production and repair costs. The plastic grain on the bumpers and skirts is purpose-engineered to reduce signs of wear as time goes by and to make scratches invisible.
The two large side doors have windows and open upwards (not outwards) so users can always climb into and out of the car on the safe side and have no trouble doing so between two parked cars. This architecture is also safer for pedestrians and cyclists as the doors do not swing open onto the road or pavement.
With its two seats in tandem, Duo is geared for agile, sprightly urban micro-mobility. It has an ample, comfortable passenger compartment, which is entirely enclosed to shield users and has large windows to let in plenty of light. The steering wheel contains an airbag, which is rare in this type of vehicle.
The ChEMBL database is one of a number of public databases that contain bioactivity data on small molecule compounds curated from diverse sources. Incoming compounds are typically not standardised according to consistent rules. In order to maintain the quality of the final database and to easily compare and integrate data on the same compound from different sources it is necessary for the chemical structures in the database to be appropriately standardised.
A chemical curation pipeline has been developed using the open source toolkit RDKit. It comprises three components: a Checker to test the validity of chemical structures and flag any serious errors; a Standardizer which formats compounds according to defined rules and conventions and a GetParent component that removes any salts and solvents from the compound to create its parent. This pipeline has been applied to the latest version of the ChEMBL database as well as uncurated datasets from other sources to test the robustness of the process and to identify common issues in database molecular structures.
All the components of the structure pipeline have been made freely available for other researchers to use and adapt for their own use. The code is available in a GitHub repository and it can also be accessed via the ChEMBL Beaker webservices. It has been used successfully to standardise the nearly 2 million compounds in the ChEMBL database and the compound validity checker has been used to identify compounds with the most serious issues so that they can be prioritised for manual curation.
In order to facilitate the use of the database, a key objective of the ChEMBL compound curation process is to standardise the chemical structures stored in the database and to assign a unique identifier to each distinct chemical structure regardless of the source. It is worth noting that there are over 5000 unique compounds in the ChEMBL database with data from ten or more different sources, and four compounds (doxorubicin, ciprofloxacin, chloroquine and paclitaxel) each with data from over 1000 sources. For each ChEMBL release, more than 50,000 new structures are added to the database, which makes manual curation and standardisation of the chemical structures impracticable. Hence an automated procedure is required.
A standardised V2000 molfile was chosen as the primary chemical structure representation in the database. The Standard InChI and the corresponding hashed InChIKey [10, 11] are used in ChEMBL as the measure of uniqueness for a chemical structure and are calculated from the molfile using software provided by the InChI Trust, currently version 1.05 [12]. Thus, when compounds from different scientific articles have the same Standard InChI and InChIKey they are considered to be the same compound and are assigned the same ChEMBL identifier (CHEMBL_ID). The use of the Standard InChI has a number of advantages in the context of the ChEMBL database. It was developed as an IUPAC open standard to enable information exchange and interoperability between large databases. The simple format of Standard InChI is also used by many other database providers and hence it is an ideal choice for an open database such as ChEMBL. However, unlike molfiles and SMILES, it was designed as an identifier and not as a structure format suitable for cheminformatics applications. For example, the Standard InChI is independent of the tautomeric form of a compound and hence different tautomers of a compound will have the same standard InChI. As a consequence, they are considered in ChEMBL as being the same compound and hence have the same ChEMBL_ID. It should however be remembered that there are a few disadvantages to using Standard InChI as an identifier, including: its inability to recognise some 1,5 keto-enol tautomers as being the same compound; its inability to recognise cis/trans isomerism in organometallic compounds (e.g. cisplatin and transplatin) and it does not support the use of relative stereochemistry, only absolute or no stereochemistry. Despite these limitations, it is a good compromise for a structural identifier for a public database such as ChEMBL. To aid interoperability, a canonical SMILES is also generated from each primary molfile, but this is considered to be a secondary structure.
The Royal Society of Chemistry (RSC) developed the Chemical Validation and Standardization Platform (CVSP) [15] to support compound deposition into their ChemSpider chemical database [16] and as a contribution to the Innovative Medicines Initiative (IMI) funded OpenPHACTS project [17] which aimed to standardise chemical structures from multiple databases. The CVSP methodology uses sets of SMARTS-based rules that can be tailored by the user. The code is available on GitHub [18] but currently has no obvious documentation and the interface is no longer available [19] although it is still possible for depositors to ChemSpider to use the rules to validate their structures.
The United States Environmental Protection Agency (EPA) also strive to have well curated structures in their DSSTox database [20]. They have described, in detail, the complexity of the task and have undertaken extensive curation of their chemical structures using a combination of manual and automated methods. Much of their focus has been on resolving the mismatches between names, identifiers and structures between their compound set and those in the US National Library of Medicine databases ChemID [21] and PubChem. Due to the inability of the V2000 molfiles to distinguish relative and absolute stereochemistry they have chosen to use V3000 molfiles as their preferred structure format. They also use an InChIKey calculated using the ChemAxon JChem toolkit to determine uniqueness, but this differs from the Standard InChIKey discussed above. SMILES are provided for users not wanting to use V3000 molfiles, but they make the point that this results in a less rich representation of the structures. Their methods are based on a combination of commercial toolkits and their own manual curation tool [22].
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